DeepNetworks
My implementations of deep neural networks for practice.
Install / Use
/learn @shaform/DeepNetworksREADME
DeepNetworks
My implementations of deep neural networks for practice.
Implemented Methods
This repository implements the following:
- Subpixel Convolutions: paper, code
- Translated Parametric ReLU: paper, code
- Weight Normalization: paper, code
- Label Smoothing: paper, code
- Wasserstein GAN: paper, code
- Improved Training of Wasserstein GANs: paper, code
- Deep Regret Analytic Generative Adversarial Networks: paper, code
- Conditional Image Synthesis With Auxiliary Classifier GANs: paper
- Learning to Discover Cross-Domain Relations with Generative Adversarial Networks: paper, code
- Minibatch Stat Concatenation: paper, code
Requirements
- tensorflow >= 1.4.0
- Python 3
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