Deep Learning and Neural Networks in Python (Data Science)

سرفصل های دوره

Learn to create Deep Learning models in Python

1. Introduction To Deep Learning and Course Outline

1.1 course outline.pptx

1. Course Outline

2.1 1.Introduction to Deep Learning.docx

2. Introduction to Deep Learning

2. Introduction to Artificial Neural Networks(ANN)

1.1 2.Introduction to Artificial Neural Networks.docx

1. Introduction to ANN

3. Activation Functions

1.1 3.Activation Functions.docx

1. Activation Functions

4. Creating Neural Networks in Python

1.1 4.1 Creating Neural Networks in Python-Single Layered Neural Network.docx

1. Creating Neural Networks in Python-Single Layered Neural Network

2.1 4.2 Creating a Neural Network with 2 layers.docx

2. Creating a Neural Network with 2 layers

3.1 4.3 Creating a Neural Network with Activation Functions.docx

3. Creating a Neural Network with Activation Functions

5. TensarFlow and Keras

1.1 5.1Introduction to TensarFlow and Keras.docx

1. Introduction to TensarFlow and Keras

2.1 5.2 Types of Tensors.docx

2. Types of Tensors

3.1 5.3 Common operations in TensorFlow.docx

3. Common operations in TensorFlow

4.1 5.4 Introduction to Keras.docx

4. Introduction to Keras

6. Creating (Artificial Neural Network) ANN Using TensorFlow and Keras

1.1 1.Creating ANN using Tensorflow and Keras asiignment solution.docx

1.2 6.Creating ANN Using TensorFlow and Keras.docx

1.3 housepricedata.csv

1. Creating ANN Using TensorFlow and Keras

7. Convolutional Neural Network(CNN)

1.1 7.1 Introduction to Convolutional Neural Network(CNN).docx

1. Introduction to Convolutional Neural Network(CNN)

2.1 7.2 Convolutional Neural Network(CNN)Layers.docx

2. Convolutional Neural Network(CNN)Layers

3.1 7.3 Creating a convolutional Neural Network(CNN).docx

3. Creating a convolutional Neural Network(CNN)

4.1 2.CNN Assignment Solution.docx

4.2 7.4 Making Prediction on a New Image and CNN Assignment.docx

4. Making Prediction on a New Image and CNN Assignment

8. Recurrent Neural Network(RNN)

1.1 8.1 Introduction to Recurrent Neural Network(RNN).docx

1. Introduction to Recurrent Neural Network(RNN)

2.1 3.RNN Assignment Solution.docx

2.2 8.2 Recurrent Neural Network Program.docx

2.3 Google Stock Price Test.csv

2.4 Google Stock Price Train.csv

2. Recurrent Neural Network Program and Assignment

9. Natural Language Processing(NLP)

1.1 9.1 Natural Language Processing(NLP)-Introduction.docx

1. Natural Language Processing(NLP)-Introduction

2.1 9.2 Tokenization.docx

2. Tokenization

3.1 9.3 Stemming.docx

3. Stemming

4.1 9.4 Lemmatization.docx

4. Lemmatization

5.1 9.5 Stop Words.docx

5. Stop words

6.1 9.6 Parts of Speech(POS).docx

6. Parts of Speech(POS)

7.1 9.7 Feature Extraction in NLP.docx

7. Feature Extraction in NLP

8.1 9.7 Feature Extraction in NLP.docx

8.2 review polarity.rar

8. Natural Language Processing(NLP)-Program

10. Computer Vision

1.1 10.1 Computer Vision-Introduction.docx

1. Computer Vision-Introduction

2.1 10.2 Reading and Displaying images using OpenCV.docx

2.2 tajmahal.zip

2. Reading and Displaying images using OpenCV

3.1 10.3 Resizing the Image using OpenCV.docx

3. Resizing the Image using OpenCV

4.1 10.4 Face Detection.docx

4.2 haarcascade frontalface default.zip

4.3 haarcascade righteye 2splits.zip

4.4 human.zip

4. Face Detection

5.1 10.5 Contours.docx

5.2 couples.zip

5. contours

6.1 10.6 Capturing Video.docx

6.2 dance

6. capturing video

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تولید کننده: Udemy