AI Workshop: Hands-on with GANs Using Dense Neural Networks

Focused View

Janani Ravi

1:24:50

10 View

01 - Introduction

01 - Understanding generative modeling.mp4

04:59

02 - 1. Introducing Generative Adversarial Networks

01 - Course outline and prerequisites.mp4

01:14

02 - Set up the virtual environment and run the notebook server.mp4

06:28

03 - Introducing generative adversarial networks (GANs).mp4

03:16

04 - Instantiating the dataset and data loader.mp4

05:34

05 - Viewing training data.mp4

03:30

03 - 2. Stand-Alone Training of Adversaries

01 - Big picture overview of a GAN.mp4

04:51

02 - Training the adversaries.mp4

03:50

03 - The generator architecture and discriminator architecture.mp4

06:20

04 - Understanding the generator and discriminator outputs.mp4

04:17

05 - Stand-alone training of discriminator as classification model.mp4

07:54

06 - Stand-alone training of generator.mp4

05:10

04 - 3. Training Generative Adversarial Networks

01 - Computing losses for generator and discriminator.mp4

04:44

02 - Understanding the minimax loss function.mp4

06:10

03 - Setting up GAN training.mp4

06:31

04 - Visualizing GAN training results.mp4

05:31

05 - Problems with GANs and potential mitigations.mp4

03:28

05 - Conclusion

01 - Summary and next steps.mp4

01:03

Description

If you’re looking for hands-on AI practice, this workshop-style coding course was designed for you. Join instructor Janani Ravi as she shows you how to build and train generative adversarial networks (GANs). Explore the core components of GANs including how to set up the virtual environment, run the notebook server, instantiate the PyTorch Dataset, DataLoader, and more. Janani covers the basics of standalone training of adversaries, training GANs, and visualizing results. By the end of this course, you’ll also know how to address common problems associated with GANs and mitigate them effectively throughout the training process.

This course was created by Loonycorn. We are pleased to host this content in our library.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Artificial Intelligence

Neural Networks

Janani Ravi

Instructor's Courses

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.