PyTorch for Deep Learning Bootcamp: Zero to Mastery

سرفصل های دوره

Learn How to Use PyTorch (Facebook Library) for Deep Learning with Practical Examples

1. Course Introduction & Overview

1.1 Source-Codes.zip

1. Course Content

2. Why Google Colab

3. Introduction to Colab Environment

2. Useful Packages

1. NumPy Basics

2. Pandas Basics

3. PyTorch Tensor Basics

1. Introduction to Tensors

2. Working with PyTorch Tensors

4. Neural Network Basic Concepts

1. Basic Terms About NN

2. Activation Function

3. How Neural Network Learn

4. Gradient Decent Optimization

5. PyTorch for Multilayer Perceptron (MLP)

1. PyTorch Regression Using MLP Part1

2. PyTorch Regression Using MLP Part2

3. PyTorch Regression Using MLP Part3

4. PyTorch Regression Using MLP Part4

6. PyTorch for Deep Artificial Neural Network (ANN)

1. Deep Artificial Neural Network Introduction

2. PyTorch Image Classification Using ANN Part1

3. PyTorch Image Classification Using ANN Part2

4. PyTorch Image Classification Using ANN Part3

5. PyTorch Image Classification Using ANN Part4

7. PyTorch for Convolutional Neural Network (CNN)

1. Introduction

2. Convolutional Layer (Image Filter)

3. Pooling Layer

4. Flattening

5. Conclusion

6. PyTorch Image Classification Using CNN Part1

7. PyTorch Image Classification Using CNN Part2

8. PyTorch Image Classification Using CNN Part3

9. PyTorch Image Classification Using CNN Part4

8. Using GPU Instead of CPU

1. Introduction to CPU & GPU

2. Watch if You Dont Use Colab!

3. How to Use GPU

4. How to Save & Load a Model Using PyTorch

9. PyTorch for Recurrent Neural Network

1. Introduction to Recurrent Neural Network

2. What is LSTM and How it Works

3.1 Temp Data.csv

3. PyTorch for Time Series Forecasting Using LSTM-Part1

4. PyTorch for Time Series Forecasting Using LSTM-Part2

5. PyTorch for Time Series Forecasting Using LSTM-Part3

6. PyTorch for Time Series Forecasting Using LSTM-Part4

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تولید کننده: Udemy-Training