Build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs
Apply RNNs to Character-level Language Modeling
Gain experience with natural language processing, word embeddings, huggingFace tokenizers and transformer models
Learn & implement these for exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), NER, Question Answering and more.