DCGAN Implementation From Scratch

DCGAN Implementation From Scratch

Learn to implement a Deep Convolutional Generative Adversarial Network (DCGAN) from scratch in this comprehensive tutorial video. Explore the DCGAN architecture based on convolutional neural networks and train it on the CelebA dataset, representing a significant advancement from simpler fully connected GANs. Dive into the DCGAN paper, understand the implementation details of both the discriminator and generator, and learn about proper weight initialization. Follow along as the model is trained on MNIST and then adapted for the CelebA dataset. Gain insights into the setup process, training procedures, and necessary modifications for different datasets.