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Courses chevron_right Deep Learning chevron_right Premium

Deep Learning Course

Generative Adversarial Networks - GANs Intro

Introducing Theory Mathematically Focused Coding Focused Project Based

Pytorch TensorFlow Jupyter Discord

Level: Advanced

Instructor: Mandy

$79.99 $99.99 20% Off - Limited Offer

Course thumbnail for Generative Adversarial Networks - GANs Intro

What's Included:

34 Video Lectures

1855 Lines of Code

Watch Duration: 7.2 Hours

113 Inline Math Snippets

83 Pages of Lecture Notes

234 Inline Code Snippets

Reading Time: 7 Hours

61 Custom Visual Graphics

174 Quiz Questions

Updated and Maintained

Generative Adversarial Networks.

In this course, we cover the intuition, math, and code behind GANs.

What you'll learn ...

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Learn about all of the components that make up a GAN

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Intuitively understand the inherent adversarial nature of GANs

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Learn about discriminative and generative models and their relation to GANs

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Learn the intuition and math behind upsampling algorithms and transposed convolutions

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Build and train GANs in code with both PyTorch and TensorFlow

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Develop a fundamental understanding of the entire GAN training process

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Understand the intuition and math behind BCE loss and how it's used for GANs

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Learn about Deep Convolutional GANs and how they're trained

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Develop complete GAN projects in code with both PyTorch and TensorFlow

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Learn the intuition and code underlying neural network computational graphs

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Gain an understanding of important coding concepts demoed in Python

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Understand important GAN concepts via intuitive customized graphics and demos

Introduction to GANs Syllabus.

Learn the fundamental concepts and how to use the existing technology tools to develop deep learning models.

Part 1 - Generative Adversarial Networks - GANs Intro

Section 1 - GAN Components

Lesson #1

Generative Adversarial Networks - GANs Intro

$79.99 $99.99 20% Off - Limited Offer

Enrolled

What's Included:

Generative Adversarial Networks.

What you'll learn ...

Introduction to GANs Syllabus.

Part 1 - Generative Adversarial Networks - GANs Intro

Section 1 - GAN Components

Lesson #1

Generative Adversarial Networks - GANs Intro - New Course Release

Lesson #2

GAN Course Introduction - Intuitive Intro To Generative Adversarial Networks

Lesson #3

The Adversarial Relationship in a Generative Adversarial Network (GAN)

Lesson #4

GAN Discriminator Network - Discriminative Models

Lesson #5

GAN Generator Network - Generative Models

Section 2 - GAN Training

Lesson #6

Upsampling Explained - Use in GANs

Lesson #7

Interactive Upsampling App

Lesson #8

Upsampling Code Demo with Neural Network APIs

Lesson #9

Transposed Convolutions Explained - Use in GANs

Lesson #10

Interactive Transposed Convolution App

Lesson #11

Transposed Convolution Code Demo with Neural Network APIs

Lesson #12

Binary Cross Entropy (BCE) Loss for GANs - Intuitive Introduction

Lesson #13

Binary Cross Entropy (BCE) Loss for GANs - Mathematical Introduction

Lesson #14

Binary Cross Entropy (BCE) Loss for GANs - The Minimax Game

Lesson #15

GAN Training Explained

Part 2 - GAN CODE PROJECT

Section 1 - Deep Convolutional GANs (DCGAN)

Lesson #16

DCGAN Architecture and Training Specs - Deep Convolutional GANs

Lesson #17

GAN Generator Input Code Demo - Normally Distributed Random Noise

Lesson #18

DCGAN Project Intro - Prerequisites and Datasets

Lesson #19

DCGAN Project Setup - Google Colab Environment

Section 2 - DCGAN PyTorch Code Implementation

Lesson #20

DCGAN PyTorch Project - Data Processing and Hyperparameters

Lesson #21

DCGAN PyTorch Project - Build Generator and Discriminator Networks

Lesson #22

DCGAN Project - Tracking GAN Training Performance

Lesson #23

DCGAN PyTorch Project - Training GAN on MNIST

Lesson #24

DCGAN PyTorch Project - Visualize Training Results

Lesson #25

DCGAN PyTorch Project - Training GAN on Faces

Section 3 - DCGAN TensorFlow Code Implementation

Lesson #26

DCGAN TensorFlow Project - Data Processing and Hyperparameters

Lesson #27

DCGAN TensorFlow Project - Build Generator and Discriminator Networks

Lesson #28

DCGAN TensorFlow Project - Training GAN on MNIST

Lesson #29

DCGAN TensorFlow Project - Visualize Training Results

Lesson #30

DCGAN TensorFlow Project - Training GAN on Faces

Section 4 - Code Demos for Additional Fundamental Topics

Lesson #31

GAN Input Code Demo - Reshaping and Projecting Data

Lesson #32

Inplace Operations Code Demo - Memory vs Data Preservation

Lesson #33