shellysheynin / Deep-Learning-Book

Deep Learning book the covers the principles of deep learning, motivation, explanations, state of the art papers for the various tasks and architectures: CNNs, object detection, semantic segmentation, generative models, denoising, super resolution, style transfer and style manipulation, inpaintig, self supervised learning, vision transformers, O…
☆103Updated 2 years ago

Related projects ⓘ

Alternatives and complementary repositories for Deep-Learning-Book