AI Workshop: Hands-on with GANs with Deep Convolutional Networks

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Janani Ravi

1:36:15

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01 - Introduction

01 - A quick overview of GANs.mp4

04:02

02 - 1. Understanding Convolutional and Pooling Layers

01 - Course outline and prerequisites.mp4

01:24

02 - Setting up Google Colab cloud-hosted notebooks.mp4

03:46

03 - Understanding convolutional neural networks.mp4

06:28

04 - Transforming a multichannel image to tensor.mp4

04:08

05 - Applying convolutional and pooling layers.mp4

04:04

06 - Viewing the effect of different filters.mp4

04:26

03 - 3. Training a Discriminator as a Classification Model

01 - Types of convolutional layers.mp4

04:11

02 - Training data for discriminator bad fakes and real images.mp4

04:34

03 - Loading and transforming training image data.mp4

04:55

04 - Understanding the discriminator architecture.mp4

07:08

05 - Training a discriminator on bad fakes.mp4

05:58

06 - Training data for discriminator good fakes and real images.mp4

03:08

07 - Training a discriminator on good fakes.mp4

04:56

04 - 3. Training a Deep Convolutional GAN

01 - Generator and discriminator.mp4

01:43

02 - Deep convolutional GANs (DCGANs).mp4

06:16

03 - Setting up data for GAN training.mp4

04:08

04 - Setting up the generator and discriminator.mp4

06:18

05 - Output from an untrained generator and discriminator.mp4

02:17

06 - Setting up the GAN training loop.mp4

07:09

07 - Viewing GAN training results.mp4

04:34

05 - Conclusion

01 - Summary and next steps.mp4

00:42

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 deep convolutional generative adversarial networks (DCGANs). Explore the core components of convolutional and pooling layers, including setting up Google Colab cloud-hosted notebooks, transforming multichannel images to tensors, applying layers, and viewing filter effects. Janani covers the basics of training a discriminator as a classification model and training a deep convolutional GAN like a pro, from setting up data for GAN training, setting up the generator and discriminator, and outputting from an untrained generator and discriminator to creating a training loop, viewing and evaluating results, and more.

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

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Artificial Intelligence

Neural Networks

Janani Ravi

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Linkedin Learning

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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.