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Developing Generative Adversarial Networks (GANs) using PyTorch

GAN.tar.gz

torch

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This course is an introduction to Generative Adversarial Networks (GANs) and a practical step-by-step tutorial on making your own with PyTorch. Through this course, you will learn how to build GANs with industry-standard tools.

In the first section, you will dive into PyTorch and refresh your understanding of neural networks by building a simple image classifier. In the second section of this course, you will explore the idea of adversarial training and build progressively more sophisticated GANs; first by learning a simple 1010 pattern, then monochrome images of handwritten digits, and finally full-color images of faces.

The third, and last section, extends the core GAN concept, applying it to convolutional neural networks, and developing a conditional GAN for generating data of the desired class.

By the end of this course, you will have a solid understanding of how to build GANs for your machine learning projects.

Make Your First GAN Using PyTorch

## Problem statement
The task is to set up the computational graph between tensors `x`, `y` and `z`. Here are the requirements. 

1. Define a tensor `a` with value `3`.
2. Define a tensor `b` with value `2`.
3. Setup a computation graph.


# Problem statement
The task is to set up the computational graph between tensors `x`, `y` and `z`. Here are the requirements. 

1. Define a tensor `a` with value `3`.
2. Define a tensor `b` with value `2`.
3. Setup a computation graph.


🍀  Challenge: Setting Up a Computation Graph

✨Introduction

✨PyTorch Basics

🖥️ Project: Computation Graph and Gradient Calculation

✨First PyTorch Neural Network

✨Refinements

🖥️ Project: Fashion MNIST Classification Model

✨CUDA Basics

Make Your First GAN: Part 1 - Exam

✨The GAN Idea

✨Simple 1010 Pattern

🖥️ Project: A Simple 01110 Pattern GAN

✨Handwritten Digits

🖥️ Project: Fashion MNIST GAN

✨Human Faces

Make Your First GAN: Part 2 - Exam

✨Convolutional GANs

🖥️ Project: A Fashion MNIST CNN

✨Conditional GANs

🖥️ Project: Fashion MNIST Conditional GAN

Make Your First GAN: Part 3 - Exam

✨Conclusion

✨Appendix

🍀 Challenge: Setting Up a Computation Graph

Problem statement