Developing Generative Adversarial Networks (GANs) using PyTorch
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97 Lessons
13h
Certificate of Completion
Developing Generative Adversarial Networks (GANs) using PyTorch
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This course includes
This course includes
Course Overview
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...Show More
TAKEAWAY SKILLS
Convolutional Gan
Conditional Gan
Pytorch Basics
Cuda Basics
Neural Networks
Refinements
Human Faces Gan
Basics Of Gan
Handwritten Digits Gan
Simple 1010 Gan
What You'll Learn
Pytorch basics
Making a neural network with PyTorch
Refining the neural network output
Basics of CUDA
The basic idea of GAN
Learning a simple 1010 pattern using GAN
Learning handwritten digits using GAN
Learning human faces using GAN
Convolutional GANs
Conditional GANs
What You'll Learn
Pytorch basics
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Course Content
✨Introduction
✨PyTorch Basics
🖥️ Project: Computation Graph and Gradient Calculation
✨First PyTorch Neural Network
✨Refinements
🖥️ Project: Fashion MNIST Classification Model
4 Lessons
✨CUDA Basics
4 Lessons
✨The GAN Idea
4 Lessons
✨Simple 1010 Pattern
6 Lessons
🖥️ Project: A Simple 01110 Pattern GAN
6 Lessons
✨Handwritten Digits
8 Lessons
🖥️ Project: Fashion MNIST GAN
5 Lessons
✨Human Faces
7 Lessons
✨Convolutional GANs
5 Lessons
🖥️ Project: A Fashion MNIST CNN
3 Lessons
✨Conditional GANs
6 Lessons
🖥️ Project: Fashion MNIST Conditional GAN
5 Lessons
Course Author
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Anthony Walker
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Evan Dunbar
ML Engineer
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