-
NLP – BERT Architecture
NLP – BERT Architecture Table Of Contents: Introduction to BERT BERT Architecture Input Representation Pretraining Objectives Fine-Tuning BERT Variants of BERT BERT Evaluation and Benchmarks Advanced Concepts Implementation with Libraries Limitations and Challenges Applications of BERT (1) Introduction To BERT. (2) BERT – Questions What is BERT and the transformer, and why do I need to understand it? Models like BERT are already massively impacting academia and business, so we’ll outline some of the ways these models are used, and clarify some of the terminology around them. What did we do before these models? To understand these models, it’s important to look
-
NLP – Syllabus
NLP – Syllabus Table Of Contents: Introduction To NLP. NLP Tools & Libraries. NLP Data Formats. NLP Pipeline. Text Preprocessing Steps. Regular Expression In NLP. Embedding Techniques. Sequence Modeling. Transformers and Pre-trained Models. Evaluation Metrics Advanced NLP Tasks. Real-World NLP Projects Ethical Considerations (1) Introduction To NLP. What is NLP ? Real-World Applications of NLP . Challenges in NLP . Differences Between NLP, NLU, and NLG . Rule-Based vs Statistical vs Neural NLP (2) NLP Tools & Library NLTK (Natural Language Toolkit) spaCy (Fast, production-ready NLP tasks) TextBlob (Simpler NLP tasks) Gensim (Topic modeling & word embeddings) Flair (Zalando) (Sequence
