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Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially;
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reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have;
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Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab;
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TensorFlow Enterprise Discover how to accelerate the machine learning development life cycle using enterprise-grade services Manage Google's cloud;
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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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Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book * Skill up;
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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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Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch;
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As part of the best-selling Pocket Primer series, this book provides an overview of the major concepts to program using TensorFlow 2. The;
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) Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP) If you're a manager or software developer looking to use TensorFlow;
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, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the;
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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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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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Work through engaging and practical deep learning projects using TensorFlow 2.0.;
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TensorFlow 2 and Keras.;
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own models in TensorFlow 2.x Explore exciting, cutting-edge use cases for deep generative AI Book DescriptionMachines are excelling at;
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using TensorFlow 2.x. What you will learn Understand how to detect objects using state-of-the-art models such as YOLOv3 Use AutoML to;
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learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning;
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services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud. As you go through the;
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capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what's new in TensorFlow 2, you'll dive right into;
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guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. With the help of NLP techniques, you can then brush;
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Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to;
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overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You;
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TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands;
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How to serve models over the web and in the cloud with TensorFlow Serving;
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Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;
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