Programming with TensorFlow
Solution for Edge Computing Applications
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Beschreibung
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).
- Provides a practical end-to-end guide to TensorFlow, the leading open source software library for building and training neural networks;
- Pertains to a broad technical audience—from data scientists and engineers to students and researchers;
- Shows how to implement advanced techniques in deep learning and explore deep neural networks and layers of data abstraction.
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).
Provides a practical end-to-end guide to TensorFlow, the leading open source software library for building and training neural networks Pertains to a broad technical audience—from data scientists and engineers to students and researchers Shows how to implement advanced techniques in deep learning and explore deep neural networks and layers of data abstraction
Autor*in
Kolla Bhanu Prakash
Themen in »Programming with TensorFlow«
TensorFlow TensorFlow and Deep Learning TensorFlow and Neural Networks TensorFlow and Matrix Convolutional Neural Networks Recurrent Neural Networks TensorFlow and Chatbot TensorFlow and LSTM TensorFlow and GNN Tensor flow IoT applications