99-ML-Learning-Projects
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[EXE] Human Faces GAN
Learning Goals
- Get hands-on experience with generative modeling
- Use convolutional neural networks with PyTorch
- Learn the foundations of the concepts used to create deep fakes
Exercise Statement
- Create a Deep Convolutional GAN to generate fake human faces using CelebA data
Prerequisites
- Basics of creating neural networks in PyTorch
- Data Augmentation and Regularization techniques
- Convolutional Neural Networks
Data source/summary:
CelebFaces Attributes (CelebA) Dataset Contains 202,599 face images of various celebrities
Suggest/Propose Solutions
I have the solution using PyTorch, will be happy to create a pull request to include the exercise statement/solution
Hi. I am really interested in it. Can you assign me this issue. ps. I have started working on the problem using Tensorflow. Thankyou!!