NLP with Deep Learning — Deep Learning & Neural Networks Roadmap
Applying neural networks to understand and generate human language
Steps in NLP with Deep Learning
- Text Preprocessing for Deep Learning — advanced · Cleaning, normalizing and preparing raw text for a neural model
- Word Embeddings (Word2Vec, GloVe) — advanced · Representing words as dense vectors that capture semantic meaning
- Text Classification with RNNs/LSTMs — advanced · Using sequence models to classify sentiment, topic or intent from text
- Subword Tokenization (BPE, WordPiece) — advanced · Splitting text into subword units to handle rare and unknown words gracefully
- Sequence Labeling Tasks (NER, POS Tagging) — advanced · Predicting a label for every token in a sequence rather than for the sequence as a whole
Part of
- Deep Learning & Neural Networks roadmap — the full learning path