Applied ML with KerasCV and KerasNLP

Learn to implement machine learning applications using KerasCV and KerasNLP libraries in this 55-minute tutorial from TensorFlow. Explore the comprehensive capabilities of both libraries starting with an overview of their features and functionalities. Master image classification techniques using KerasCV, discover how to augment image datasets effectively, and implement object detection workflows. Dive into generative AI by creating images with stable diffusion models through KerasCV's interface. Transition to natural language processing by building text classification systems with KerasNLP and generating text using advanced language models. Conclude by optimizing embedding lookup operations for building efficient recommendation systems with TensorFlow, gaining practical skills in both computer vision and natural language processing domains.