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technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book;
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TensorFlow ist Googles herausragendes Werkzeug fA1/4r das maschinelle Lernen, und dieses Buch macht es zugAnglich, selbst wenn Sie bisher;
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hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The;
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Perform sequence predictions using TensorFlow 2.0 Deploy TensorFlow 2.0 models with practical examples Who This Book Is For Data;
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sequence predictions using TensorFlow 2.0 Deploy TensorFlow 2.0 models with practical examples Who This Book Is For Data scientists, machine and;
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Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep;
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on TensorFlow Who This Book Is For This book is ideal for data scientists who are familiar with C++ or Python and perform machine;
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Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;
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techniques to write production-ready code for your Tensorflow models Book DescriptionTensorFlow is an open source software library for Machine;
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This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author;
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of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep;
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Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques;
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Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable;
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compatible APIs across the TensorFlow ecosystem Learn and implement best practices for building data ingestion pipelines using TF 2.0 APIs Migrate;
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(in Python) and figures. FEATURES: Provides an overview of the most important TensorFlow programming techniques used for machine learning, deep;
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Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow;
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* Enter the new era of second-generation machine learning with Python with this practical and insightful guide * Set up TensorFlow 1.x for actual;
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the community. What You'll Learn Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep;
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problems with TensorFlow * Uses well-studied neural network architectures * Presents code that can be used for the readers' own;
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Work through engaging and practical deep learning projects using TensorFlow 2.0.;
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book is for you. Experienced machine learning engineers who want to master the new features of the TensorFlow framework will also find this;
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computing environment and install TensorFlow * Build simple TensorFlow graphs for everyday computations * Apply logistic regression for;
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quite useful. What You Will Learn * Install TensorFlow and use it for CPU and GPU operations * Implement DNNs and apply them to solve;
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TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training;
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which decisions are more likely to give maximum results. TensorFlow, Google's brainchild, is immensely popular and extensively used for;
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Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;
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fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;
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