A three part series covering the basics of

• Word Embedding, One Hot Encoding, Text Vectorization, Embedding Layers, and an Example Neural Network Architecture for NLP (Part 1: Mastering Web Embeddings in 10 Minutes with TensorFlow),
• Text Vectorization, Creating a Word Embedding Model trained with a Neural Network on IMDB Reviews Dataset, and Visualizing it with TensorBoard Embedding Projector (Part 2: Mastering Web Embeddings in 10 Minutes with IMDB Reviews), and
• Using State-of-the-Art Pre-trained Neural Network Models (OpenAI’s GPTs, BERTs, ELMos) to Tackle Natural Language Processing Problems with Transfer Learning (Part 3: Pre-Trained Model Series to use for NLP with Transfer Learning)