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1.Essentials of NLP
2.Understanding Sentiment in Natural Language with BiLSTMs
3.Named Entity Recognition (NER) with BiLSTMs, CRFs and Viterbi Decoding
4.Transfer Learning with BERT
5.Generating Text with RNNs and GPT-2
6.Text Summarization with Seq2seq Attention and Transformer Networks
7.Multi-Modal Networks and Image Captioning with ResNets and Transformer Networks
8.Weakly Supervised Learning for Classification with Snorkel
9.Building Conversational AI Applications with Deep Learning
10.Installation and Setup Instructions for Code
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