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Learn to leverage the latest KerasNLP toolbox in this 36-minute tutorial video that demonstrates natural language processing capabilities with BERT models in TensorFlow 2. Master building transformer models from scratch or utilizing pre-trained architectures through the modular KerasNLP library, which offers state-of-the-art preset weights and customizable components. Explore three distinct approaches to pre-training BERT models, focusing specifically on implementing the KerasNLP toolbox methodology. Follow along with the official Keras Colab notebook to understand core concepts like TransformerEncoder layers, workflow development, and fine-tuning techniques for domain-specific applications. Gain practical experience working with the comprehensive KerasNLP framework that supports the entire development cycle from initial model creation through deployment.
