Shypd.aiThe largest open index of AI toolsDeep-learning-with-cats is an open-source project for deep learning experiments with cat images. It uses Generative Adversarial Networks (GANs) to generate cat pictures and deep convolutional neural networks for style transfer.
Trending
About
Deep-learning-with-cats is an open-source project designed for exploring and gaining experience in building deep neural networks, specifically focusing on cat images. The primary goal is to generate realistic cat pictures using various Generative Adversarial Networks (GANs), including DCGAN, WGAN, WGAN-GP, and LSGAN. Additionally, the project aims to transform real cat images into art pieces by applying different styles through deep convolutional neural networks, such as Fast neural style. It also incorporates features like Frechet Inception Distance (FID) for evaluation and supports soft/noisy labels and decaying noise for improved generation. The project requires Python 3.6, PyTorch, and Tensorflow for TensorBoard integration.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
