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Building our first simple GAN

In this video we build a simple generative adversarial network based on fully connected layers and train it on the MNIST dataset. It's far from perfect, but it's a start and will lead us to implement more advanced and better architectures in upcoming videos.

I learned a lot and was inspired to make these GAN videos by the GAN specialization on coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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GitHub Repository:
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GAN Playlist:
https://youtube.com/playlist?list=PLhhyoLH6IjfwIp8bZnzX8QR30TRcHO8Va

PyTorch Playlist:
https://www.youtube.com/playlist?list=PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz

OUTLINE:
0:00 - Introduction
0:29 - Building Discriminator
2:14 - Building Generator
4:36 - Hyperparameters, initializations, and preprocessing
10:14 - Setup training of GANs
22:09 - Training and evaluation

Видео Building our first simple GAN канала Aladdin Persson
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Информация о видео
1 ноября 2020 г. 14:02:40
00:24:24
Яндекс.Метрика