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.
affiliate: https://bit.ly/2OECviQ
non-affiliate: https://bit.ly/3bvr9qy
GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection
✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson
❤️ Become a Channel Member:
https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join
✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc
▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/
GitHub - https://github.com/aladdinpersson
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
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.
affiliate: https://bit.ly/2OECviQ
non-affiliate: https://bit.ly/3bvr9qy
GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection
✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson
❤️ Become a Channel Member:
https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join
✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc
▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/
GitHub - https://github.com/aladdinpersson
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
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![DCGAN implementation from scratch](https://i.ytimg.com/vi/IZtv9s_Wx9I/default.jpg)
![](https://i.ytimg.com/vi/rxuBUDYixE4/default.jpg)
![Understand the Math and Theory of GANs in ~ 10 minutes](https://i.ytimg.com/vi/J1aG12dLo4I/default.jpg)
![[Classic] Generative Adversarial Networks (Paper Explained)](https://i.ytimg.com/vi/eyxmSmjmNS0/default.jpg)
![](https://i.ytimg.com/vi/4qhDKSJ4FuM/default.jpg)
![Building-GAN (ICCV 2021)](https://i.ytimg.com/vi/fjjv1eWAF0s/default.jpg)
![StyleGAN 1 Guide [Theory and PyTorch Code, ProGAN included]](https://i.ytimg.com/vi/BDTzO5u_Qss/default.jpg)
![A Friendly Introduction to Generative Adversarial Networks (GANs)](https://i.ytimg.com/vi/8L11aMN5KY8/default.jpg)
![PYTORCH COMMON MISTAKES - How To Save Time 🕒](https://i.ytimg.com/vi/O2wJ3tkc-TU/default.jpg)
![Don't Buy Alexa! Build Your Own. Create a Virtual Assistant with Python | Python Project | Jarvis AI](https://i.ytimg.com/vi/AWvsXxDtEkU/default.jpg)
![Generative Adversarial Networks (GANs) - Computerphile](https://i.ytimg.com/vi/Sw9r8CL98N0/default.jpg)
![What are GANs (Generative Adversarial Networks)?](https://i.ytimg.com/vi/TpMIssRdhco/default.jpg)
![An Introduction to Generative Adversarial Networks (GANs)](https://i.ytimg.com/vi/OXWvrRLzEaU/default.jpg)
![Use AI to Create Synthetic Data from a DataFrame or CSV](https://i.ytimg.com/vi/5mFCXqANGtY/default.jpg)
![Pytorch Transformers from Scratch (Attention is all you need)](https://i.ytimg.com/vi/U0s0f995w14/default.jpg)
![Training a GAN from your Own Images: StyleGAN2 ADA](https://i.ytimg.com/vi/kbDd5lW6rkM/default.jpg)
![Generative Adversarial Network (GANs) Full Coding Example Tutorial in Tensorflow 2.0!](https://i.ytimg.com/vi/tX-6CMNnT64/default.jpg)
![Pytorch TensorBoard Tutorial](https://i.ytimg.com/vi/RLqsxWaQdHE/default.jpg)
![Generating Pokemon with a Generative Adversarial Network](https://i.ytimg.com/vi/yz6dNf7X7SA/default.jpg)
![WGAN implementation from scratch (with gradient penalty)](https://i.ytimg.com/vi/pG0QZ7OddX4/default.jpg)