Deep Learning Bootcamp Neural Networks With Python, Pytorch

سرفصل های دوره

1 - Deep LearningDeep Neural Network for Beginners Using Python

1 - Promo Highlights

2 - Introduction Introduction to Instructor and Aisciences

3 - Links for the Courses Materials and Codes.html

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 Learning Multi 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

80 - Optimizations Vanishing Gradient Problem

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

2 - PyTorch Power From Zero to Deep Learning Hero PyTorch

87 - Links for the Courses Materials and Codes.html

88 - Introduction Module Content

89 - Introduction Benefits of Framework

90 - Introduction Installations and Setups

91 - Tensor Introduction to Tensor

92 - Tensor List vs Array vs Tensor

93 - Tensor Arithmetic Operations

94 - Tensor Tensor Operations

95 - Tensor AutoGradiants

96 - Tensor Activity Solution

97 - Tensor Detaching Gradients

98 - Tensor Loading GPU

99 - NN with Tensor Introduction to Module

100 - NN with Tensor Basic NN part 1

101 - NN with Tensor Basic NN part 2

102 - Loss-Functions.pdf

102 - NN with Tensor Loss Functions

103 - Activation-Function.pdf

103 - NN with Tensor Activation Functions Hidden Layers

104 - NN with Tensor Optimizers

104 - Optimizer.pdf

105 - NN with Tensor Data Loader Dataset

106 - NN with Tensor Activity

107 - NN with Tensor Activity Solution

108 - NN with Tensor Formating the Output

109 - NN with Tensor Graph for Loss

110 - CNN Introduction to Module

111 - CNN CNN vs NN

112 - CNN Introduction to Convolution

113 - CNN Convolution Animations

114 - CNN Convolution using Pytorch

115 - CNN Introduction to Pooling

116 - CNN Pooling using Numpy

117 - CNN Pooling in Pytorch

118 - CNN Introduction to Project

119 - CNN Project Data Loading

120 - CNN Project Transforms

121 - CNN Project DataLoaders

122 - CNN Project CNN Architect

123 - CNN Project Forward Propagation

124 - CNN Project Training CNN

125 - CNN Project Analyzing Model Output

126 - CNN Project Making Predictions

3 - TensorFlow Fundamentals From Basics to Brilliant AI Project

127 - Links for the Courses Materials and Codes.html

128 - Introduction to TensorFlow Module Introduction

129 - Introduction to TensorFlow TensorFlow Definition and Properties

130 - Introduction to TensorFlow Tensor Types and Tesnor Board

131 - Introduction to TensorFlow How to use TensorFlow

132 - Introduction to TensorFlow Google Colab

133 - Introduction to TensorFlow Exercise

134 - Introduction to TensorFlow Exercise Solution

135 - Introduction to TensorFlow Quiz

136 - Introduction to TensorFlow Quiz Solution

137 - Building your first deep learning Project Module Introduction

138 - Building your first deep learning Project ANNs

139 - Building your first deep learning Project TensorFlow Playground

140 - Building your first deep learning Project Load TF and Data

141 - Building your first deep learning Project Model Training and Evaluation

142 - Building your first deep learning Project Project

143 - Building your first deep learning Project Project Implementation

144 - Building your first deep learning Project Quiz

145 - Building your first deep learning Project Quiz Solution

146 - Multilayer Deep Learning Project Module Introduction

147 - Multilayer Deep Learning Project Training and Epochs

148 - Multilayer Deep Learning Project Gradient Decent and Back Propagation

149 - Multilayer Deep Learning Project Bias Variance TradeOff

150 - Multilayer Deep Learning Project Performance Metrics

151 - Multilayer Deep Learning Project ProjectSales Predition

152 - Multilayer Deep Learning Project Quiz

153 - Multilayer Deep Learning Project Quiz Solution

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تولید کننده: Udemy