00000nam a22000007i 4500 UP-8027295163992919271 Buklod 20241003141114.0 m |o d | cr ||||||||||| 241003s2021 sz u eng 9783030570774 (eBook) (Buklod)UP-99946688289970973 DLC DENGII rda eng QA 76.87 P76 2021eb Programming with TensorFlow solution for edge computing applications Kolla Bhanu Prakash, G. R. Kanagachidambaresan, editors. Switzerland Springer [2021] 1 online resource. text txt rdacontent computer rdamedia online resource nc rdacarrier IP based subscription, on campus and remote access Access via Electronic Resources of the UPD Engineering Library and University Library websites. 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. Electronic reproduction Switzerland Springer 2021 Available via World Wide Web through SpringerLink. Neural networks (Computer science) Machine learning. TensorFlow. Prakash, Kolla Bhanu editor. Kanagachidambaresan, G. R. editor. Also available remotely for the University of the Philippines System via SpringerLink. Click here to access thru EZproxy https://link-springer-com.ezproxy.engglib.upd.edu.ph/book/10.1007/978-3-030-57077-4 Available for University of the Philippines System via SpringerLink. Click here to access https://doi.org/10.1007/978-3-030-57077-4 FO UPD DENG-II QA 76.87 P76 2021eb Electronic Resource