Deep learning has revolutionized the field of Natural Language Processing (NLP) by enabling models to understand, generate, and manipulate human language with unprecedented accuracy. Below are key concepts and applications to get started:
Core Concepts
- Neural Networks: The foundation of deep learning, using layers of nodes to learn patterns from data.
- Word Embeddings: Techniques like Word2Vec or GloVe convert text into numerical vectors for machine learning.
- Recurrent Neural Networks (RNNs): Designed for sequential data, ideal for tasks like language modeling.
Applications in NLP
- Text Classification
- Sentiment Analysis
- Machine Translation
Next Steps
For deeper exploration, check out our NLP Overview Tutorial to understand the broader landscape of NLP techniques.