What you would learn in TensorFlow: Working with NLP course?
TensorFlow 2.0 is quickly becoming one of the most well-known deep learning frameworks and is an essential part of your toolkit for artificial intelligence. Through a hands-on method, Jonathan Fernandes covers the critical aspects of working with transformers in natural language processing which are all part of TensorFlow. He covers the basics using text-based data and focuses on the transfer process, fine-tuning BERT, and understanding the model of transformer. Additionally, he provides a set of challenge and solution sets, as well as questions for assessment to aid in the retention of the content.
Course Content:
- Introduction
- 1. NLP and Transformers
- 2. BERT and Transfer Learning
- 3. Transformers and BERT
- Conclusion
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