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Learning TensorFlow : A Guide to Building Deep Learning Systems
Description Learning TensorFlow : A Guide to Building Deep Learning Systems. Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. 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 computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience--from data scientists and engineers to students and researchers. You'll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems in TensorFlow.Get up and running with TensorFlow, rapidly and painlesslyLearn how to use TensorFlow to build deep learning models from the ground upTrain popular deep learning models for computer vision and NLPUse extensive abstraction libraries to make development easier and fasterLearn how to scale TensorFlow, and use clusters to distribute model trainingDeploy TensorFlow in a production setting
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Livres Learning TensorFlow : A Guide to Building Deep Learning Systems PDF ePub
Learning TensorFlow A Guide to Building Deep Learning ~ 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 computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad.
Learning TensorFlow: A Guide to Building Deep Learning ~ This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students, and researchers. The book adopts a hands-on approach suitable for a broad technical audience, allowing beginners a gentle start while diving deep into advanced topics and showing how to build production-ready systems.
Installer des outils d’intelligence artificielle - AI ~ Avant d’entraîner des modèles de Deep Learning sur votre ordinateur local, . À compter de la version 1.2, TensorFlow n’assure plus la prise en charge GPU pour macOS. As of version 1.2, TensorFlow no longer provides GPU support for macOS. Caffe2 Caffe2. Caffe2 est un framework deep learning léger, modulaire et scalable. Caffe2 is a lightweight, modular, and scalable deep learning .
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Python Deep Learning Tutorial - Tutorialspoint ~ Python is a general-purpose high level programming language that is widely used in data science and for producing deep learning algorithms. This brief tutorial introduces Python and its libraries like Numpy, Scipy, Pandas, Matplotlib; frameworks like Theano, TensorFlow, Keras. The tutorial explains .
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Dive into Deep Learning — Dive into Deep Learning 0.15.1 ~ Interactive deep learning book with code, math, . PyTorch, and TensorFlow Adopted at 140 universities from 35 countries Announcements [Free resource] If you plan to use D2L to teach your class in the 2021 Spring semester , you may apply for free computing resources for your class by 11/22/2020. [Oct 2020] We have added PyTorch implementations up to Chapter 11 (Optimization) and TensorFlow .
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