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.
1. NLP and Transformers
2. BERT and Transfer Learning
3. Transformers and BERT
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