PyTorch for Deep Learning with Python Bootcamp

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Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

1 - Course Overview Installs and Setup

1 - COURSE OVERVIEW LECTURE PLEASE DO NOT SKIP

1 - PYTORCH-NOTEBOOKS.zip

2 - Installation and Environment Setup

2 - Link for yml environment file.txt

2 - PYTORCH-NOTEBOOKS.zip

2 - COURSE OVERVIEW CONFIRMATION CHECK

1 - DID YOU WATCH THE COURSE OVERVIEW LECTURE.html

3 - Crash Course NumPy

3 - Introduction to NumPy

4 - NumPy Arrays

5 - NumPy Arrays Part Two

6 - Numpy Index Selection

7 - NumPy Operations

8 - Numpy Exercises

9 - Numpy Exercises Solutions

4 - Crash Course Pandas

10 - Pandas Overview

11 - Pandas Series

12 - Pandas DataFrames Part One

13 - Pandas DataFrames Part Two

14 - GroupBy Operations

15 - Pandas Operations

16 - Data Input and Output

17 - Pandas Exercises

18 - Pandas Exercises Solutions

5 - PyTorch Basics

19 - PyTorch Basics Introduction

20 - Tensor Basics

21 - Tensor Basics Part Two

22 - Tensor Operations

23 - Tensor Operations Part Two

24 - PyTorch Basics Exercise

25 - PyTorch Basics Exercise Solutions

6 - Machine Learning Concepts Overview

26 - What is Machine Learning

27 - Supervised Learning

28 - Overfitting

29 - Evaluating Performance Classification Error Metrics

30 - Evaluating Performance Regression Error Metrics

31 - Unsupervised Learning

7 - ANN Artificial Neural Networks

32 - Introduction to ANN Section

33 - Theory Perceptron Model

34 - Theory Neural Network

35 - Theory Activation Functions

36 - MultiClass Classification

37 - Theory Cost Functions and Gradient Descent

38 - BackPropagation Explained 1.txt

38 - Backpropagation Great Theory Book.txt

38 - Theory BackPropagation

39 - PyTorch Gradients

40 - Linear Regression with PyTorch

41 - Linear Regression with PyTorch Part Two

42 - DataSets with PyTorch

43 - Basic Pytorch ANN Part One

44 - Basic PyTorch ANN Part Two

45 - Basic PyTorch ANN Part Three

46 - Introduction to Full ANN with PyTorch

47 - Full ANN Code Along Regression Part One Feature Engineering

48 - Full ANN Code Along Regression Part 2 Categorical and Continuous Features

49 - Full ANN Code Along Regression Part Three Tabular Model

50 - Full ANN Code Along Regression Part Four Training and Evaluation

51 - Full ANN Code Along Classification Example

52 - ANN Exercise Overview

53 - ANN Exercise Solutions

8 - CNN Convolutional Neural Networks

54 - Introduction to CNNs

55 - Understanding the MNIST data set

56 - ANN with MNIST Part One Data

57 - ANN with MNIST Part Two Creating the Network

58 - ANN with MNIST Part Three Training

59 - ANN with MNIST Part Four Evaluation

60 - Image Filters and Kernels

61 - Convolutional Layers

62 - Pooling Layers

63 - MNIST Data Revisited

64 - MNIST with CNN Code Along Part One

65 - MNIST with CNN Code Along Part Two

66 - MNIST with CNN Code Along Part Three

67 - CIFAR10 DataSet with CNN Code Along Part One

68 - CIFAR10 DataSet with CNN Code Along Part Two

69 - Google Drive Download Link for CATSDOGS zip file.txt

69 - Loading Real Image Data Part One

70 - Loading Real Image Data Part Two

71 - CNN on Custom Images Part One Loading Data

72 - CNN on Custom Images Part Two Training and Evaluating Model

73 - CNN on Custom Images Part Three PreTrained Networks

74 - CNN Exercise

75 - CNN Exercise Solutions

9 - Recurrent Neural Networks

76 - Introduction to Recurrent Neural Networks

77 - RNN Basic Theory

78 - Vanishing Gradients

79 - LSTMS and GRU

80 - RNN Batches Theory

81 - RNN Creating Batches with Data

82 - Basic RNN Creating the LSTM Model

83 - Basic RNN Training and Forecasting

84 - RNN on a Time Series Part One

85 - RNN on a Time Series Part Two

86 - RNN Exercise

87 - RNN Exercise Solutions

10 - Using a GPU with PyTorch and CUDA

88 - CUDA with PyTorch.txt

88 - NVIDIA CUDA Installation Page.txt

88 - Official Docs on Pytorch on Google Colab.txt

88 - PyTorch Official Install Page.txt

88 - PyTorch on AWS.txt

88 - PyTorch on Google Cloud Platform.txt

88 - PyTorch on Microsoft Azure.txt

88 - Why do we need GPUs

89 - Using GPU for PyTorch

11 - NLP with PyTorch

90 - Introduction to NLP with PyTorch

91 - Encoding Text Data

92 - Generating Training Batches

93 - Creating the LSTM Model

94 - Training the LSTM Model

95 - Google Drive Link for another Model.txt

95 - OUR MODEL FOR DOWNLOAD.html

96 - Generating Predictions

12 - BONUS SECTION THANK YOU

97 - BONUS LECTURE.html

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تولید کننده: Udemy