Deep Learning: Python Deep Learning Masterclass

سرفصل های دوره

Unlock the Secrets of Deep Learning: Dive Deep into CNNs, RNNs, NLP, Chatbots, and Recommender Systems - Deep Learning

1 - Introduction

1 - Links for the Courses Materials and Codes.html

2 - Deep LearningDeep Neural Network for Beginners Using Python

2 - Introduction Introduction to Instructor

3 - Introduction Introduction to Course

4 - Basics of Deep Learning Problem to Solve Part 1

5 - Basics of Deep Learning Problem to Solve Part 2

6 - Basics of Deep Learning Problem to Solve Part 3

7 - Basics of Deep Learning Linear Equation

8 - Basics of Deep Learning Linear Equation Vectorized

9 - Basics of Deep Learning 3D Feature Space

10 - Basics of Deep Learning N Dimensional Space

11 - Basics of Deep Learning Theory of Perceptron

12 - Basics of Deep Learning Implementing Basic Perceptron

13 - Basics of Deep Learning Logical Gates for Perceptrons

14 - Basics of Deep Learning Perceptron Training Part 1

15 - Basics of Deep Learning Perceptron Training Part 2

16 - Basics of Deep Learning Learning Rate

17 - Basics of Deep Learning Perceptron Training Part 3

18 - Basics of Deep Learning Perceptron Algorithm

19 - Basics of Deep Learning Coading Perceptron Algo Data Reading Visualization

20 - Basics of Deep Learning Coading Perceptron Algo Perceptron Step

21 - Basics of Deep Learning Coading Perceptron Algo Training Perceptron

22 - Basics of Deep Learning Coading Perceptron Algo Visualizing the Results

23 - Basics of Deep Learning Problem with Linear Solutions

24 - Basics of Deep Learning Solution to Problem

25 - Basics of Deep Learning Error Functions

26 - Basics of Deep Learning Discrete vs Continuous Error Function

27 - Basics of Deep Learning Sigmoid Function

28 - Basics of Deep Learning MultiClass Problem

29 - Basics of Deep Learning Problem of Negative Scores

30 - Basics of Deep Learning Need of Softmax

31 - Basics of Deep Learning Coding Softmax

32 - Basics of Deep Learning One Hot Encoding

33 - Basics of Deep Learning Maximum Likelihood Part 1

34 - Basics of Deep Learning Maximum Likelihood Part 2

35 - Basics of Deep Learning Cross Entropy

36 - Basics of Deep Learning Cross Entropy Formulation

37 - Basics of Deep Learning Multi Class Cross Entropy

38 - Basics of Deep Learning Cross Entropy Implementation

39 - Basics of Deep Learning Sigmoid Function Implementation

40 - Basics of Deep Learning Output Function Implementation

41 - Deep Learning Introduction to Gradient Decent

42 - Deep Learning Convex Functions

43 - Deep Learning Use of Derivatives

44 - Deep Learning How Gradient Decent Works

45 - Deep Learning Gradient Step

46 - Deep Learning Logistic Regression Algorithm

47 - Deep Learning Data Visualization and Reading

48 - Deep Learning Updating Weights in Python

49 - Deep Learning Implementing Logistic Regression

50 - Deep Learning Visualization and Results

51 - Deep Learning Gradient Decent vs Perceptron

52 - Deep Learning Linear to Non Linear Boundaries

53 - Deep Learning Combining Probabilities

54 - Deep Learning Weighted Sums

55 - Deep Learning Neural Network Architecture

56 - Deep Learning Layers and DEEP Networks

57 - Deep LearningMulti Class Classification

58 - Deep Learning Basics of Feed Forward

59 - Deep Learning Feed Forward for DEEP Net

60 - Deep Learning Deep Learning Algo Overview

61 - Deep Learning Basics of Back Propagation

62 - Deep Learning Updating Weights

63 - Deep Learning Chain Rule for BackPropagation

64 - Deep Learning Sigma Prime

65 - Deep Learning Data Analysis NN Implementation

66 - Deep Learning One Hot Encoding NN Implementation

67 - Deep Learning Scaling the Data NN Implementation

68 - Deep Learning Splitting the Data NN Implementation

69 - Deep Learning Helper Functions NN Implementation

70 - Deep Learning Training NN Implementation

71 - Deep Learning Testing NN Implementation

72 - Optimizations Underfitting vs Overfitting

73 - Optimizations Early Stopping

74 - Optimizations Quiz

75 - Optimizations Solution Regularization

76 - Optimizations L1 L2 Regularization

77 - Optimizations Dropout

78 - Optimizations Local Minima Problem

79 - Optimizations Random Restart Solution

81 - Optimizations Other Activation Functions

82 - Final Project Final Project Part 1

83 - Final Project Final Project Part 2

84 - Final Project Final Project Part 3

85 - Final Project Final Project Part 4

86 - Final Project Final Project Part 5

3 - Deep Learning CNN Convolutional Neural Networks with Python

87 - Link to Github to get the Python Notebooks.html

88 - Introduction Instructor Introduction

89 - Introduction Why CNN

90 - Introduction Focus of the Course

91 - Image Processing Gray Scale Images

92 - Image Processing Gray Scale Images Quiz

93 - Image Processing Gray Scale Images Solution

94 - Image Processing RGB Images

95 - Image Processing RGB Images Quiz

96 - Image Processing RGB Images Solution

97 - Image Processing Reading and Showing Images in Python

98 - Image Processing Reading and Showing Images in Python Quiz

99 - Image Processing Reading and Showing Images in Python Solution

100 - Image Processing Converting an Image to Grayscale in Python

101 - Image Processing Converting an Image to Grayscale in Python Quiz

102 - Image Processing Converting an Image to Grayscale in Python Solution

103 - Image Processing Image Formation

104 - Image Processing Image Formation Quiz

105 - Image Processing Image Formation Solution

106 - Image Processing Image Blurring 1

107 - Image Processing Image Blurring 1 Quiz

108 - Image Processing Image Blurring 1 Solution

109 - Image Processing Image Blurring 2

110 - Image Processing Image Blurring 2 Quiz

111 - Image Processing Image Blurring 2 Solution

112 - Image Processing General Image Filtering

113 - Image Processing Convolution

114 - Image Processing Edge Detection

115 - Image Processing Image Sharpening

116 - Image Processing Implementation of Image Blurring Edge Detection Image Sharpening in Python

117 - Image Processing Parameteric Shape Detection

118 - Image Processing Image Processing Activity

119 - Image Processing Image Processing Activity Solution

120 - Object Detection Introduction to Object Detection

121 - Object Detection Classification PipleLine

122 - Object Detection Classification PipleLine Quiz

123 - Object Detection Classification PipleLine Solution

124 - Object Detection Sliding Window Implementation

125 - Object Detection Shift Scale Rotation Invariance

126 - Object Detection Shift Scale Rotation Invariance Exercise

127 - Object Detection Person Detection

128 - Object Detection HOG Features

129 - Object Detection HOG Features Exercise

130 - Object Detection Hand Engineering vs CNNs

131 - Object Detection Object Detection Activity

132 - Deep Neural Network Overview Neuron and Perceptron

133 - Deep Neural Network Overview DNN Architecture

134 - Deep Neural Network Overview DNN Architecture Quiz

135 - Deep Neural Network Overview DNN Architecture Solution

136 - Deep Neural Network Overview FeedForward FullyConnected MLP

137 - Deep Neural Network Overview Calculating Number of Weights of DNN

138 - Deep Neural Network Overview Calculating Number of Weights of DNN Quiz

139 - Deep Neural Network Overview Calculating Number of Weights of DNN Solution

140 - Deep Neural Network Overview Number of Nuerons vs Number of Layers

141 - Deep Neural Network Overview Discriminative vs Generative Learning

142 - Deep Neural Network Overview Universal Approximation Therorem

143 - Deep Neural Network Overview Why Depth

144 - Deep Neural Network Overview Decision Boundary in DNN

145 - Deep Neural Network Overview Decision Boundary in DNN Quiz

146 - Deep Neural Network Overview Decision Boundary in DNN Solution

147 - Deep Neural Network Overview BiasTerm

148 - Deep Neural Network Overview BiasTerm Quiz

149 - Deep Neural Network Overview BiasTerm Solution

150 - Deep Neural Network Overview Activation Function

151 - Deep Neural Network Overview Activation Function Quiz

152 - Deep Neural Network Overview Activation Function Solution

153 - Deep Neural Network Overview DNN Training Parameters

154 - Deep Neural Network Overview DNN Training Parameters Quiz

155 - Deep Neural Network Overview DNN Training Parameters Solution

156 - Deep Neural Network Overview Gradient Descent

157 - Deep Neural Network Overview BackPropagation

158 - Deep Neural Network Overview Training DNN Animantion

159 - Deep Neural Network Overview Weigth Initialization

160 - Deep Neural Network Overview Weigth Initialization Quiz

161 - Deep Neural Network Overview Weigth Initialization Solution

162 - Deep Neural Network Overview Batch miniBatch Stocastic Gradient Descent

163 - Deep Neural Network Overview Batch Normalization

164 - Deep Neural Network Overview Rprop and Momentum

165 - Deep Neural Network Overview Rprop and Momentum Quiz

166 - Deep Neural Network Overview Rprop and Momentum Solution

167 - Deep Neural Network Overview Convergence Animation

168 - Deep Neural Network Overview DropOut Early Stopping and Hyperparameters

169 - Deep Neural Network Overview DropOut Early Stopping and Hyperparameters Quiz

170 - Deep Neural Network Overview DropOut Early Stopping and Hyperparameters Solution

171 - Deep Neural Network Architecture Convolution Revisited

172 - Deep Neural Network Architecture Implementing Convolution in Python Revisited

173 - Deep Neural Network Architecture Why Convolution

174 - Deep Neural Network Architecture Filters Padding Strides

175 - Deep Neural Network Architecture Padding Image

176 - Deep Neural Network Architecture Pooling Tensors

177 - Deep Neural Network Architecture CNN Example

178 - Deep Neural Network Architecture Convolution and Pooling Details

179 - Deep Neural Network Architecture Maxpooling Exercise

180 - Deep Neural Network Architecture NonVectorized Implementations of Conv2d and Pool2d

181 - Deep Neural Network Architecture Deep Neural Network Architecture Activity

182 - Gradient Descent in CNNs Example Setup

183 - Gradient Descent in CNNs Why Derivaties

184 - Gradient Descent in CNNs Why Derivaties Quiz

185 - Gradient Descent in CNNs Why Derivaties Solution

186 - Gradient Descent in CNNs What is Chain Rule

187 - Gradient Descent in CNNs Applying Chain Rule

188 - Gradient Descent in CNNs Gradients of MaxPooling Layer

189 - Gradient Descent in CNNs Gradients of MaxPooling Layer Quiz

190 - Gradient Descent in CNNs Gradients of MaxPooling Layer Solution

191 - Gradient Descent in CNNs Gradients of Convolutional Layer

192 - Gradient Descent in CNNs Extending To Multiple Filters

193 - Gradient Descent in CNNs Extending to Multiple Layers

194 - Gradient Descent in CNNs Extending to Multiple Layers Quiz

195 - Gradient Descent in CNNs Extending to Multiple Layers Solution

196 - Gradient Descent in CNNs Implementation in Numpy ForwardPass

197 - Gradient Descent in CNNs Implementation in Numpy BackwardPass 1

198 - Gradient Descent in CNNs Implementation in Numpy BackwardPass 2

199 - Gradient Descent in CNNs Implementation in Numpy BackwardPass 3

200 - Gradient Descent in CNNs Implementation in Numpy BackwardPass 4

201 - Gradient Descent in CNNs Implementation in Numpy BackwardPass 5

202 - Gradient Descent in CNNs Gradient Descent in CNNs Activity

203 - Introduction to TensorFlow Introduction

204 - Introduction to TensorFlow FashionMNIST Example Plan Neural Network

205 - Introduction to TensorFlow FashionMNIST Example CNN

206 - Introduction to TensorFlow Introduction to TensorFlow Activity

207 - Classical CNNs LeNet

208 - Classical CNNs LeNet Quiz

209 - Classical CNNs LeNet Solution

210 - Classical CNNs AlexNet

211 - Classical CNNs VGG

212 - Classical CNNs InceptionNet

213 - Classical CNNs GoogLeNet

214 - Classical CNNs Resnet

215 - Classical CNNs Classical CNNs Activity

216 - Transfer Learning What is Transfer learning

217 - Transfer Learning Why Transfer Learning

218 - Transfer Learning Practical Tips

219 - Transfer Learning Project in TensorFlow

220 - Transfer Learning ImageNet Challenge

221 - Transfer Learning Transfer Learning Activity

222 - Yolo Image Classfication Revisited

223 - Yolo Sliding Window Object Localization

224 - Yolo Sliding Window Efficient Implementation

225 - Yolo Yolo Introduction

226 - Yolo Yolo Training Data Generation

227 - Yolo Yolo Anchor Boxes

228 - Yolo Yolo Algorithm

229 - Yolo Yolo Non Maxima Supression

230 - Yolo RCNN

231 - Yolo Yolo Activity

232 - Face Verification Problem Setup

233 - Face Verification Project Implementation

234 - Face Verification Face Verification Activity

235 - Neural Style Transfer Problem Setup

236 - Neural Style Transfer Implementation Tensorflow Hub

4 - Deep Learning Recurrent Neural Networks with Python

237 - Link to oneDrive and Github to get the Python Notebooks.html

238 - Introduction Introduction to Instructor and Aisciences

239 - Introduction Introduction To Instructor

240 - Introduction Focus of the Course

241 - Applications of RNN Motivation Human Activity Recognition

242 - Applications of RNN Motivation Image Captioning

243 - Applications of RNN Motivation Machine Translation

244 - Applications of RNN Motivation Speech Recognition

245 - Applications of RNN Motivation Stock Price Predictions

246 - Applications of RNN Motivation When to Model RNN

247 - Applications of RNN Motivation Activity

248 - DNN Overview Why PyTorch

249 - DNN Overview PyTorch Installation and Tensors Introduction

250 - DNN Overview Automatic Diffrenciation Pytorch New

251 - DNN Overview Why DNNs in Machine Learning

252 - DNN Overview Representational Power and Data Utilization Capacity of DNN

253 - DNN Overview Perceptron

254 - DNN Overview Perceptron Exercise

255 - DNN Overview Perceptron Exercise Solution

256 - DNN Overview Perceptron Implementation

257 - DNN Overview DNN Architecture

258 - DNN Overview DNN Architecture Exercise

259 - DNN Overview DNN Architecture Exercise Solution

260 - DNN Overview DNN ForwardStep Implementation

261 - DNN Overview DNN Why Activation Function Is Required

262 - DNN Overview DNN Why Activation Function Is Required Exercise

263 - DNN Overview DNN Why Activation Function Is Required Exercise Solution

264 - DNN Overview DNN Properties Of Activation Function

265 - DNN Overview DNN Activation Functions In Pytorch

266 - DNN Overview DNN What Is Loss Function

267 - DNN Overview DNN What Is Loss Function Exercise

268 - DNN Overview DNN What Is Loss Function Exercise Solution

269 - DNN Overview DNN What Is Loss Function Exercise 02

270 - DNN Overview DNN What Is Loss Function Exercise 02 Solution

271 - DNN Overview DNN Loss Function In Pytorch

272 - DNN Overview DNN Gradient Descent

273 - DNN Overview DNN Gradient Descent Exercise

274 - DNN Overview DNN Gradient Descent Exercise Solution

275 - DNN Overview DNN Gradient Descent Implementation

276 - DNN Overview DNN Gradient Descent Stochastic Batch Minibatch

277 - DNN Overview DNN Implemenation Gradient Step

278 - DNN Overview DNN Implemenation Stochastic Gradient Descent

279 - DNN Overview DNN Gradient Descent Summary

280 - DNN Overview DNN Implemenation Batch Gradient Descent

281 - DNN Overview DNN Implemenation Minibatch Gradient Descent

282 - DNN Overview DNN Implemenation In PyTorch

283 - DNN Overview DNN Weights Initializations

284 - DNN Overview DNN Learning Rate

285 - DNN Overview DNN Batch Normalization

286 - DNN Overview DNN batch Normalization Implementation

287 - DNN Overview DNN Optimizations

288 - DNN Overview DNN Dropout

289 - DNN Overview DNN Dropout In PyTorch

290 - DNN Overview DNN Early Stopping

291 - DNN Overview DNN Hyperparameters

292 - DNN Overview DNN Pytorch CIFAR10 Example

293 - RNN Architecture Introduction to Module

294 - RNN Architecture Fixed Length Memory Model

295 - RNN Architecture Fixed Length Memory Model Exercise

296 - RNN Architecture Fixed Length Memory Model Exercise Solution Part 01

297 - RNN Architecture Fixed Length Memory Model Exercise Solution Part 02

298 - RNN Architecture Infinite Memory Architecture

299 - RNN Architecture Infinite Memory Architecture Exercise

300 - RNN Architecture Infinite Memory Architecture Solution

301 - RNN Architecture Weight Sharing

302 - RNN Architecture Notations

303 - RNN Architecture ManyToMany Model

304 - RNN Architecture ManyToMany Model Exercise 01

305 - RNN Architecture ManyToMany Model Solution 01

306 - RNN Architecture ManyToMany Model Exercise 02

307 - RNN Architecture ManyToMany Model Solution 02

308 - RNN Architecture ManyToOne Model

309 - RNN Architecture OneToMany Model Exercise

310 - RNN Architecture OneToMany Model Solution

311 - RNN Architecture OneToMany Model

312 - RNN Architecture ManyToOne Model Exercise

313 - RNN Architecture ManyToOne Model Solution

314 - RNN Architecture Activity Many to One

315 - RNN Architecture Activity Many to One Exercise

316 - RNN Architecture Activity Many to One Solution

317 - RNN Architecture ManyToMany Different Sizes Model

318 - RNN Architecture Activity Many to Many Nmt

319 - RNN Architecture Models Summary

320 - RNN Architecture Deep RNNs

321 - RNN Architecture Deep RNNs Exercise

322 - RNN Architecture Deep RNNs Solution

323 - Gradient Decsent in RNN Introduction to Gradient Descent Module

324 - Gradient Decsent in RNN Example Setup

325 - Gradient Decsent in RNN Equations

326 - Gradient Decsent in RNN Equations Exercise

327 - Gradient Decsent in RNN Equations Solution

328 - Gradient Decsent in RNN Loss Function

329 - Gradient Decsent in RNN Why Gradients

330 - Gradient Decsent in RNN Why Gradients Exercise

331 - Gradient Decsent in RNN Why Gradients Solution

332 - Gradient Decsent in RNN Chain Rule

333 - Gradient Decsent in RNN Chain Rule in Action

334 - Gradient Decsent in RNN BackPropagation Through Time

335 - Gradient Decsent in RNN Activity

336 - RNN implementation Automatic Diffrenciation

337 - RNN implementation Automatic Diffrenciation Pytorch

338 - RNN implementation Language Modeling Next Word Prediction Vocabulary Index

339 - RNN implementation Language Modeling Next Word Prediction Vocabulary Index Embeddings

340 - RNN implementation Language Modeling Next Word Prediction RNN Architecture

341 - RNN implementation Language Modeling Next Word Prediction Python 1

342 - RNN implementation Language Modeling Next Word Prediction Python 2

343 - RNN implementation Language Modeling Next Word Prediction Python 3

344 - RNN implementation Language Modeling Next Word Prediction Python 4

345 - RNN implementation Language Modeling Next Word Prediction Python 5

346 - RNN implementation Language Modeling Next Word Prediction Python 6

347 - Sentiment Classification using RNN Vocabulary Implementation

348 - Sentiment Classification using RNN Vocabulary Implementation Helpers

349 - Sentiment Classification using RNN Vocabulary Implementation From File

350 - Sentiment Classification using RNN Vectorizer

351 - Sentiment Classification using RNN RNN Setup 1

352 - Sentiment Classification using RNN RNN Setup 2

353 - Sentiment Classification using RNN WhatNext

354 - Vanishing Gradients in RNN Introduction to Better RNNs Module

355 - Vanishing Gradients in RNN Introduction Vanishing Gradients in RNN

356 - Vanishing Gradients in RNN GRU

357 - Vanishing Gradients in RNN GRU Optional

358 - Vanishing Gradients in RNN LSTM

359 - Vanishing Gradients in RNN LSTM Optional

360 - Vanishing Gradients in RNN Bidirectional RNN

361 - Vanishing Gradients in RNN Attention Model

362 - Vanishing Gradients in RNN Attention Model Optional

363 - TensorFlow Introduction to TensorFlow

364 - TensorFlow TensorFlow Text Classification Example using RNN

365 - Project I Book Writer Introduction

366 - Project I Book Writer Data Mapping

367 - Project I Book Writer Modling RNN Architecture

368 - Project I Book Writer Modling RNN Model in TensorFlow

369 - Project I Book Writer Modling RNN Model Training

370 - Project I Book Writer Modling RNN Model Text Generation

371 - Project I Book Writer Activity

372 - Project II Stock Price Prediction Problem Statement

373 - Project II Stock Price Prediction Data Set

374 - Project II Stock Price Prediction Data Prepration

375 - Project II Stock Price Prediction RNN Model Training and Evaluation

376 - Project II Stock Price Prediction Activity

377 - Further Readings and Resourses Further Readings and Resourses 1

5 - NLPNatural Language Processing in PythonTheory Projects

378 - Links for the Courses Materials and Codes.html

379 - Introduction Introduction to Course

380 - Introduction Introduction to Instructor

381 - Introduction Introduction to CoInstructor

382 - Introduction Course Introduction

383 - IntroductionRegular Expressions What Is Regular Expression

384 - IntroductionRegular Expressions Why Regular Expression

385 - IntroductionRegular Expressions ELIZA Chatbot

386 - IntroductionRegular Expressions Python Regular Expression Package

387 - Meta CharactersRegular Expressions Meta Characters

388 - Meta CharactersRegular Expressions Meta Characters Bigbrackets Exercise

389 - Meta CharactersRegular Expressions Meta Characters Bigbrackets Exercise Solution

390 - Meta CharactersRegular Expressions Meta Characters Bigbrackets Exercise 2

391 - Meta CharactersRegular Expressions Meta Characters Bigbrackets Exercise 2 Solution

392 - Meta CharactersRegular Expressions Meta Characters Cap

393 - Meta CharactersRegular Expressions Meta Characters Cap Exercise 3

394 - Meta CharactersRegular Expressions Meta Characters Cap Exercise 3 Solution

395 - Meta CharactersRegular Expressions Backslash

396 - Meta CharactersRegular Expressions Backslash Continued

397 - Meta CharactersRegular Expressions Backslash Continued 01

398 - Meta CharactersRegular Expressions Backslash Squared Brackets Exercise

399 - Meta CharactersRegular Expressions Backslash Squared Brackets Exercise Solution

400 - Meta CharactersRegular Expressions Backslash Squared Brackets Exercise Another Solution

401 - Meta CharactersRegular Expressions Backslash Exercise

402 - Meta CharactersRegular Expressions Backslash Exercise Solution And Special Sequences Exercise

403 - Meta CharactersRegular Expressions Solution And Special Sequences Exercise Solution

404 - Meta CharactersRegular Expressions Meta Character Asterisk

405 - Meta CharactersRegular Expressions Meta Character Asterisk Exercise

406 - Meta CharactersRegular Expressions Meta Character Asterisk Exercise Solution

407 - Meta CharactersRegular Expressions Meta Character Asterisk Homework

408 - Meta CharactersRegular Expressions Meta Character Asterisk Greedymatching

409 - Meta CharactersRegular Expressions Meta Character Plus And Questionmark

410 - Meta CharactersRegular Expressions Meta Character Curly Brackets Exercise

411 - Meta CharactersRegular Expressions Meta Character Curly Brackets Exercise Solution

412 - Pattern Objects Pattern Objects

413 - Pattern Objects Pattern Objects Match Method Exersize

414 - Pattern Objects Pattern Objects Match Method Exersize Solution

415 - Pattern Objects Pattern Objects Match Method Vs Search Method

416 - Pattern Objects Pattern Objects Finditer Method

417 - Pattern Objects Pattern Objects Finditer Method Exersize Solution

418 - More Meta Characters Meta Characters Logical Or

419 - More Meta Characters Meta Characters Beginning And End Patterns

420 - More Meta Characters Meta Characters Paranthesis

421 - String Modification String Modification

422 - String Modification Word Tokenizer Using Split Method

423 - String Modification Sub Method Exercise

424 - String Modification Sub Method Exercise Solution

425 - Words and Tokens What Is A Word

426 - Words and Tokens Definition Of Word Is Task Dependent

427 - Words and Tokens Vocabulary And Corpus

428 - Words and Tokens Tokens

429 - Words and Tokens Tokenization In Spacy

430 - Sentiment Classification Yelp Reviews Classification Mini Project Introduction

431 - Sentiment Classification Yelp Reviews Classification Mini Project Vocabulary Initialization

432 - Sentiment Classification Yelp Reviews Classification Mini Project Adding Tokens To Vocabulary

433 - Sentiment Classification Yelp Reviews Classification Mini Project Look Up Functions In Vocabulary

434 - Sentiment Classification Yelp Reviews Classification Mini Project Building Vocabulary From Data

435 - Sentiment Classification Yelp Reviews Classification Mini Project One Hot Encoding

436 - Sentiment Classification Yelp Reviews Classification Mini Project One Hot Encoding Implementation

437 - Sentiment Classification Yelp Reviews Classification Mini Project Encoding Documents

438 - Sentiment Classification Yelp Reviews Classification Mini Project Encoding Documents Implementation

439 - Sentiment Classification Yelp Reviews Classification Mini Project Train Test Splits

440 - Sentiment Classification Yelp Reviews Classification Mini Project Featurecomputation

441 - Sentiment Classification Yelp Reviews Classification Mini Project Classification

442 - Language Independent Tokenization Tokenization In Detial Introduction

443 - Language Independent Tokenization Tokenization Is Hard

444 - Language Independent Tokenization Tokenization Byte Pair Encoding

445 - Language Independent Tokenization Tokenization Byte Pair Encoding Example

446 - Language Independent Tokenization Tokenization Byte Pair Encoding On Test Data

447 - Language Independent Tokenization Tokenization Byte Pair Encoding Implementation Getpaircounts

448 - Language Independent Tokenization Tokenization Byte Pair Encoding Implementation Mergeincorpus

449 - Language Independent Tokenization Tokenization Byte Pair Encoding Implementation BFE Training

450 - Language Independent Tokenization Tokenization Byte Pair Encoding Implementation BFE Encoding

451 - Language Independent Tokenization Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair

452 - Language Independent Tokenization Tokenization Byte Pair Encoding Implementation BFE Encoding One Pair 1

453 - Text Nomalization Word Normalization Case Folding

454 - Text Nomalization Word Normalization Lematization

455 - Text Nomalization Word Normalization Stemming

456 - Text Nomalization Word Normalization Sentence Segmentation

457 - String Matching and Spelling Correction Spelling Correction Minimum Edit Distance Intro

458 - String Matching and Spelling Correction Spelling Correction Minimum Edit Distance Example

459 - String Matching and Spelling Correction Spelling Correction Minimum Edit Distance Table Filling

460 - String Matching and Spelling Correction Spelling Correction Minimum Edit Distance Dynamic Programming

461 - String Matching and Spelling Correction Spelling Correction Minimum Edit Distance Psudocode

462 - String Matching and Spelling Correction Spelling Correction Minimum Edit Distance Implementation

463 - String Matching and Spelling Correction Spelling Correction Minimum Edit Distance Implementation Bugfixing

464 - String Matching and Spelling Correction Spelling Correction Implementation

465 - Language Modeling What Is A Language Model

466 - Language Modeling Language Model Formal Definition

467 - Language Modeling Language Model Curse Of Dimensionality

468 - Language Modeling Language Model Markov Assumption And NGrams

469 - Language Modeling Language Model Implementation Setup

470 - Language Modeling Language Model Implementation Ngrams Function

471 - Language Modeling Language Model Implementation Update Counts Function

472 - Language Modeling Language Model Implementation Probability Model Funciton

473 - Language Modeling Language Model Implementation Reading Corpus

474 - Language Modeling Language Model Implementation Sampling Text

475 - Topic Modelling with Word and Document Representations One Hot Vectors

476 - Topic Modelling with Word and Document Representations One Hot Vectors Implementaton

477 - Topic Modelling with Word and Document Representations One Hot Vectors Limitations

478 - Topic Modelling with Word and Document Representations One Hot Vectors Uses As Target Labeling

479 - Topic Modelling with Word and Document Representations Term Frequency For Document Representations

480 - Topic Modelling with Word and Document Representations Term Frequency For Document Representations Implementations

481 - Topic Modelling with Word and Document Representations Term Frequency For Word Representations

482 - Topic Modelling with Word and Document Representations TFIDF For Document Representations

483 - Topic Modelling with Word and Document Representations TFIDF For Document Representations Implementation Reading Corpus

485 - Topic Modelling with Word and Document Representations TFIDF For Document Representations Implementation Computing TFIDF

486 - Topic Modelling with Word and Document Representations Topic Modeling With TFIDF 1

487 - Topic Modelling with Word and Document Representations Topic Modeling With TFIDF 3

488 - Topic Modelling with Word and Document Representations Topic Modeling With TFIDF 4

489 - Topic Modelling with Word and Document Representations Topic Modeling With TFIDF 5

490 - Topic Modelling with Word and Document Representations Topic Modeling With Gensim

491 - Word Embeddings LSI Word Cooccurrence Matrix

492 - Word Embeddings LSI Word Cooccurrence Matrix vs Documentterm Matrix

493 - Word Embeddings LSI Word Cooccurrence Matrix Implementation Preparing Data

494 - Word Embeddings LSI Word Cooccurrence Matrix Implementation Preparing Data 2

495 - Word Embeddings LSI Word Cooccurrence Matrix Implementation Preparing Data Getting Vocabulary

496 - Word Embeddings LSI Word Cooccurrence Matrix Implementation Final Function

497 - Word Embeddings LSI Word Cooccurrence Matrix Implementation Handling Memory Issues On Large Corp

498 - Word Embeddings LSI Word Cooccurrence Matrix Sparsity

499 - Word Embeddings LSI Word Cooccurrence Matrix Positive Point Wise Mutual Information PPMI

500 - Word Embeddings LSI PCA For Dense Embeddings

501 - Word Embeddings LSI Latent Semantic Analysis

502 - Word Embeddings LSI Latent Semantic Analysis Implementation

503 - Word Semantics Cosine Similarity

504 - Word Semantics Cosine Similarity Geting Norms Of Vectors

505 - Word Semantics Cosine Similarity Normalizing Vectors

506 - Word Semantics Cosine Similarity With More Than One Vectors

507 - Word Semantics Cosine Similarity Getting Most Similar Words In The Vocabulary

508 - Word Semantics Cosine Similarity Getting Most Similar Words In The Vocabulary Fixingbug Of D

509 - Word Semantics Cosine Similarity Word2Vec Embeddings

510 - Word Semantics Words Analogies

511 - Word Semantics Words Analogies Implemenation 1

512 - Word Semantics Words Analogies Implemenation 2

513 - Word Semantics Words Visualizations

514 - Word Semantics Words Visualizations Implementaion

515 - Word Semantics Words Visualizations Implementaion 2

516 - Word2vec Static And Dynamic Embeddings

517 - Word2vec Self Supervision

518 - Word2vec Word2Vec Algorithm Abstract

519 - Word2vec Word2Vec Why Negative Sampling

520 - Word2vec Word2Vec What Is Skip Gram

521 - Word2vec Word2Vec How To Define Probability Law

522 - Word2vec Word2Vec Sigmoid

523 - Word2vec Word2Vec Formalizing Loss Function

524 - Word2vec Word2Vec Loss Function

525 - Word2vec Word2Vec Gradient Descent Step

526 - Word2vec Word2Vec Implemenation Preparing Data

527 - Word2vec Word2Vec Implemenation Gradient Step

528 - Word2vec Word2Vec Implemenation Driver Function

529 - Need of Deep Learning for NLP Why RNNs For NLP

530 - Need of Deep Learning for NLP Pytorch Installation And Tensors Introduction

531 - Need of Deep Learning for NLP Automatic Diffrenciation Pytorch

532 - IntroductionNLP with Deep Learning DNN Why DNNs In Machine Learning

533 - IntroductionNLP with Deep Learning DNN Representational Power And Data Utilization Capacity Of DNN

534 - IntroductionNLP with Deep Learning DNN Perceptron

535 - IntroductionNLP with Deep Learning DNN Perceptron Implementation

536 - IntroductionNLP with Deep Learning DNN DNN Architecture

537 - IntroductionNLP with Deep Learning DNN DNN Forwardstep Implementation

538 - IntroductionNLP with Deep Learning DNN DNN Why Activation Function Is Require

539 - IntroductionNLP with Deep Learning DNN DNN Properties Of Activation Function

540 - IntroductionNLP with Deep Learning DNN DNN Activation Functions In Pytorch

541 - IntroductionNLP with Deep Learning DNN DNN What Is Loss Function

542 - IntroductionNLP with Deep Learning DNN DNN Loss Function In Pytorch

543 - TrainingNLP with DNN DNN Gradient Descent

544 - TrainingNLP with DNN DNN Gradient Descent Implementation

545 - TrainingNLP with DNN DNN Gradient Descent Stochastic Batch Minibatch

546 - TrainingNLP with DNN DNN Gradient Descent Summary

547 - TrainingNLP with DNN DNN Implemenation Gradient Step

548 - TrainingNLP with DNN DNN Implemenation Stochastic Gradient Descent

549 - TrainingNLP with DNN DNN Implemenation Batch Gradient Descent

550 - TrainingNLP with DNN DNN Implemenation Minibatch Gradient Descent

551 - TrainingNLP with DNN DNN Implemenation In Pytorch

552 - Hyper parametersNLP with DNN DNN Weights Initializations

553 - Hyper parametersNLP with DNN DNN Learning Rate

554 - Hyper parametersNLP with DNN DNN Batch Normalization

555 - Hyper parametersNLP with DNN DNN Batch Normalization Implementation

556 - Hyper parametersNLP with DNN DNN Optimizations

557 - Hyper parametersNLP with DNN DNN Dropout

558 - Hyper parametersNLP with DNN DNN Dropout In Pytorch

559 - Hyper parametersNLP with DNN DNN Early Stopping

560 - Hyper parametersNLP with DNN DNN Hyperparameters

561 - Hyper parametersNLP with DNN DNN Pytorch CIFAR10 Example

562 - IntroductionNLP with Deep Learning RNN What Is RNN

563 - IntroductionNLP with Deep Learning RNN Understanding RNN With A Simple Example

564 - IntroductionNLP with Deep Learning RNN RNN Applications Human Activity Recognition

565 - IntroductionNLP with Deep Learning RNN RNN Applications Image Captioning

566 - IntroductionNLP with Deep Learning RNN RNN Applications Machine Translation

567 - IntroductionNLP with Deep Learning RNN RNN Applications Speech Recognition Stock Price Prediction

568 - IntroductionNLP with Deep Learning RNN RNN Models

569 - Miniproject Language Modelling Language Modeling Next Word Prediction

570 - Miniproject Language Modelling Language Modeling Next Word Prediction Vocabulary Index

571 - Miniproject Language Modelling Language Modeling Next Word Prediction Vocabulary Index Embeddings

572 - Miniproject Language Modelling Language Modeling Next Word Prediction Rnn Architecture

573 - Miniproject Language Modelling Language Modeling Next Word Prediction Python 1

574 - Miniproject Language Modelling Language Modeling Next Word Prediction Python 2

575 - Miniproject Language Modelling Language Modeling Next Word Prediction Python 3

576 - Miniproject Language Modelling Language Modeling Next Word Prediction Python 4

577 - Miniproject Language Modelling Language Modeling Next Word Prediction Python 5

578 - Miniproject Language Modelling Language Modeling Next Word Prediction Python 6

579 - Miniproject Sentiment Classification Vocabulary Implementation

580 - Miniproject Sentiment Classification Vocabulary Implementation Helpers

581 - Miniproject Sentiment Classification Vocabulary Implementation From File

582 - Miniproject Sentiment Classification Vectorizer

583 - Miniproject Sentiment Classification RNN Setup

584 - Miniproject Sentiment Classification RNN Setup 1

585 - RNN in PyTorch RNN In Pytorch Introduction

586 - RNN in PyTorch RNN In Pytorch Embedding Layer

587 - RNN in PyTorch RNN In Pytorch Nn Rnn

588 - RNN in PyTorch RNN In Pytorch Output Shapes

589 - RNN in PyTorch RNN In Pytorch Gatedunits

590 - RNN in PyTorch RNN In Pytorch Gatedunits GRU LSTM

591 - RNN in PyTorch RNN In Pytorch Bidirectional RNN

592 - RNN in PyTorch RNN In Pytorch Bidirectional RNN Output Shapes

593 - RNN in PyTorch RNN In Pytorch Bidirectional RNN Output Shapes Seperation

594 - RNN in PyTorch RNN In Pytorch Example

595 - Advanced RNN models RNN Encoder Decoder

596 - Advanced RNN models RNN Attention

597 - Neural Machine Translation Introduction To Dataset And Packages

598 - Neural Machine Translation Implementing Language Class

599 - Neural Machine Translation Testing Language Class And Implementing Normalization

600 - Neural Machine Translation Reading Datafile

601 - Neural Machine Translation Reading Building Vocabulary

602 - Neural Machine Translation EncoderRNN

603 - Neural Machine Translation DecoderRNN

604 - Neural Machine Translation DecoderRNN Forward Step

605 - Neural Machine Translation DecoderRNN Helper Functions

606 - Neural Machine Translation Training Module

607 - Neural Machine Translation Stochastic Gradient Descent

608 - Neural Machine Translation NMT Training

609 - Neural Machine Translation NMT Evaluation

6 - Advanced Chatbots with Deep Learning Python

610 - Links for the Courses Materials and Codes.html

611 - Introduction Course and Instructor Introduction

612 - Introduction AI Sciences Introduction

613 - Introduction Course Description

614 - Fundamentals of Chatbots for Deep Learning Module Introduction

615 - Fundamentals of Chatbots for Deep Learning Conventional vs AI Chatbots

616 - Fundamentals of Chatbots for Deep Learning Geneative vs Retrievel Chatbots

617 - Fundamentals of Chatbots for Deep Learning Benifits of Deep Learning Chatbots

618 - Fundamentals of Chatbots for Deep Learning Chatbots in Medical Domain

619 - Fundamentals of Chatbots for Deep Learning Chatbots in Business

620 - Fundamentals of Chatbots for Deep Learning Chatbots in ECommerce

621 - Deep Learning Based Chatbot Architecture and Develpment Module Introduction

622 - Deep Learning Based Chatbot Architecture and Develpment Deep Learning Architect

623 - Deep Learning Based Chatbot Architecture and Develpment Encoder Decoder

624 - Deep Learning Based Chatbot Architecture and Develpment Steps Involved

625 - Deep Learning Based Chatbot Architecture and Develpment Project Overview and Packages

626 - Deep Learning Based Chatbot Architecture and Develpment Importing Libraries

627 - Deep Learning Based Chatbot Architecture and Develpment Data Prepration

628 - Deep Learning Based Chatbot Architecture and Develpment Develop Vocabulary

629 - Deep Learning Based Chatbot Architecture and Develpment Max Story and Question Length

630 - Deep Learning Based Chatbot Architecture and Develpment Tokenizer

631 - Deep Learning Based Chatbot Architecture and Develpment Separation and Sequence

632 - Deep Learning Based Chatbot Architecture and Develpment Vectorize Stories

633 - Deep Learning Based Chatbot Architecture and Develpment Vectorizing Train and Test Data

634 - Deep Learning Based Chatbot Architecture and Develpment Encoding

635 - Deep Learning Based Chatbot Architecture and Develpment Answer and Response

636 - Deep Learning Based Chatbot Architecture and Develpment Model Completion

637 - Deep Learning Based Chatbot Architecture and Develpment Predictions

7 - Recommender Systems An Applied Approach using Deep Learning

638 - Links for the Courses Materials and Codes.html

639 - Introduction Course Outline

640 - Deep Learning Foundation for Recommender Systems Module Introduction

641 - Deep Learning Foundation for Recommender Systems Overview

642 - Deep Learning Foundation for Recommender Systems Deep Learning in Recommendation Systems

643 - Deep Learning Foundation for Recommender Systems Inference After Training

644 - Deep Learning Foundation for Recommender Systems Inference Mechanism

645 - Deep Learning Foundation for Recommender Systems Embeddings and User Context

646 - Deep Learning Foundation for Recommender Systems Neutral Collaborative Filterin

647 - Deep Learning Foundation for Recommender Systems VAE Collaborative Filtering

648 - Deep Learning Foundation for Recommender Systems Strengths and Weaknesses of DL Models

649 - Deep Learning Foundation for Recommender Systems Deep Learning Quiz

650 - Deep Learning Foundation for Recommender Systems Deep Learning Quiz Solution

651 - Project Amazon Product Recommendation System Module Overview

652 - Project Amazon Product Recommendation System TensorFlow Recommenders

653 - Project Amazon Product Recommendation System Two Tower Model

654 - Project Amazon Product Recommendation System Project Overview

655 - Project Amazon Product Recommendation System Download Libraries

656 - Project Amazon Product Recommendation System Data Visualization with WordCloud

657 - Project Amazon Product Recommendation System Make Tensors from DataFrame

658 - Project Amazon Product Recommendation System Rating Our Data

659 - Project Amazon Product Recommendation System Random TrainTest Split

660 - Project Amazon Product Recommendation System Making the Model and Query Tower

661 - Project Amazon Product Recommendation System Candidate Tower and Retrieval System

662 - Project Amazon Product Recommendation System Compute Loss

663 - Project Amazon Product Recommendation System Train and Validation

664 - Project Amazon Product Recommendation System Accuracy vs Recommendations

665 - Project Amazon Product Recommendation System Making Recommendations

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تولید کننده: Udemy