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Building our first simple GAN

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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.
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Paid Courses I recommend for learning (affiliate links, no extra cost for you):
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GitHub Repository:
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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
❤️ Support the channel ❤️
Paid Courses I recommend for learning (affiliate links, no extra cost for you):
✨ Free Resources that are great:
💻 My Deep Learning Setup and Recording Setup:
GitHub Repository:
✅ One-Time Donations:
▶️ You Can Connect with me on:
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
Building our first simple GAN
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