This practical book provides an end-to-end guide to TensorFlow, the
leading open source software library that helps you build and train
neural networks for deep learning, Natural Language Processing
(NLP), speech recognition, and general predictive analytics. The
book provides a hands-on approach to TensorFlow fundamentals for a
broad technical audience-from data scientists and engineers to
students and researchers. The authors begin by working through some
basic examples in TensorFlow before diving deeper into topics such
as CNN, RNN, LSTM, and GNN. The book is written for those who want
to build powerful, robust, and accurate predictive models with the
power of TensorFlow, combined with other open source Python
libraries. The authors demonstrate TensorFlow projects on Single
Board Computers (SBCs).
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