In this video we build a generative adversarial network based on convolutional neural networks and train it on the CelebA dataset. This is a huge improvement from the previous simple fully connected GAN implemented in previous videos.

DCGAN paper:
https://arxiv.org/abs/1511.06434

CelebA dataset used in video:
https://www.kaggle.com/dataset/504743cb487a5aed565ce14238c6343b7d650ffd28c071f03f2fd9b25819e6c9

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OUTLINE:
0:00 - Introduction
0:26 - Quick Paper Recap
4:31 - Implementation of Discriminator
9:38 - Implementation of Generator
15:27 - Weight initialization and test model
19:09 - Setup of training
31:36 - Training on MNIST
32:20 - Modifications to CelebA dataset
33:52 - Training on CelebA and ending