Lecture 10 (29/03/2021, 3.5 hours): more on word2vec, GloVe, RNNs, LSTMs and PyTorch Lightning

More on Word2Vec and word embeddings: hierarchical softmax; negative sampling. GloVe. Recurrent Neural Networks. Gated architectures, Long-Short Term Memory networks (LSTMs). Bidirectional LSTMs and stacked LSTMs. Character embeddings. Introduction to PyTorch Lightning