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Pytorch DCGAN Tutorial (See description for updated video)

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Published on 12/15/22 / In How-to & Learning

New video:
https://youtu.be/IZtv9s_Wx9I

GAN Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

Reason for update:
I felt the video explanations could be clearer and better video quality. What I've done now is expand it into a new GAN playlist where DCGAN is one of those! Do check out the links above.

In this video we implement a generative adversarial network (GAN) in Pytorch. Specifically we're implementing a DCGAN (Deep Convolutional Generative Adversarial Network) trained on the MNIST-dataset to generate new digits.

✅ Support My Channel Through Patreon:
https://www.patreon.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

Github Repository:
https://github.com/aladdinpers....son/Machine-Learning

Papers to gain better understanding of GANs:
https://arxiv.org/abs/1406.2661 (Original GAN paper)
https://arxiv.org/abs/1511.06434 (DCGAN paper)
https://arxiv.org/abs/1606.03498 (Techniques for training GANs)

OUTLINE:
0:00 - Introduction
0:46 - Overview of the idea behind GANs
1:42 - Original GAN paper overview
4:27 - DCGAN paper overview
7:13 - Implementation of the Discriminator
12:43 - Implementation of the Generator
17:21 - Initialization of the network, dataset and hyperparameters
24:00 - Setting up the training phase
38:10 - Training the Network and visualizing results

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