TensorFlow and Keras for Deep Learning focus on building, training, and deploying neural network models using popular deep learning frameworks. TensorFlow provides powerful tools for large-scale machine learning, while Keras offers a high-level interface for rapid model development. This training explains how to create deep learning architectures such as convolutional and recurrent neural networks. It also covers data preprocessing, activation functions, optimization techniques, and model evaluation methods. You will learn how to develop AI applications for image recognition, natural language processing, and predictive analytics. The course also highlights best practices for creating scalable, efficient, and production-ready deep learning solutions.
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