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Dive into a comprehensive 3-hour course on TensorFlow 2.0, designed for beginners. Master the fundamentals of this powerful deep learning framework through 11 hands-on lessons, including projects that utilize the Keras API. Learn essential concepts such as tensor basics, neural networks, linear regression, and convolutional neural networks (CNNs). Explore advanced topics like transfer learning, recurrent neural networks (RNNs), long short-term memory (LSTM), and gated recurrent units (GRUs). Gain practical experience with a classification project and a natural language processing (NLP) project. Discover how to save and load models, and leverage the Functional API for more flexible model architectures. By the end of this course, acquire the skills necessary to start building your own deep learning models using TensorFlow 2.0.
