What you would learn in Transformers: Text Classification for NLP Using BERT course?
Transformers are making waves in NLP (NLP) world to the forefront. In this class trainer, Jonathan Fernandes teaches you all about this essential architecture used to perform NLP and computer vision, a crucial ability to have in the Artificial Intelligence toolset. Jonathan utilizes a hands-on approach to teach you the fundamentals of using transformers for NLP or production. He covers BERT models, the sizes of models as well as biases within BERT, and how BERT was taught. Jonathan investigates transfer learning, explains how to utilize to use the BERT models and tokenization, and also covers the process of the classification of text. After explaining the transformer model's structure and architecture in detail, he wraps up with a few more training sessions.
Course Content:
- Introduction
- 1. NLP and Transformers
- 2. BERT and Transfer Learning
- 3. Transformer Architecture and BERT
- 4. Text Classification
- Conclusion
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