xifanghnu

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

Summer-School

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

Udacity-Deep-Learning-Nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.