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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation;

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Learn TensorFlow Enterprise

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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What's New in TensorFlow 2.0

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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Machine Learning with TensorFlow 1.x

Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. About This Book;

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Kubeflow for Machine Learning From Lab to Production

training to model serving. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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TensorFlow Deep Learning Projects

learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects;

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Hands-On Neural Networks with TensorFlow 2.0

build high-efficiency data input pipelines Perform transfer learning and fine-tuning with TensorFlow Hub Define and train networks to solve;

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TensorFlow 2 Reinforcement Learning Cookbook

intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers;

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Learn TensorFlow 2.0

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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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing;

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TensorFlow Machine Learning Cookbook

Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;

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TensorFlow 2.0 Quick Start Guide

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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State-of-the-Art Deep Learning Models in TensorFlow

. The book begins with an example-driven approach to building input pipelines that feed all machine learning models. You will learn how to;

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Machine Learning Using TensorFlow Cookbook

, and you want to skip detailed theoretical explanations in favor of building production-ready machine learning models using TensorFlow, this;

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TensorFlow Machine Learning Cookbook

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features;

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Recurrent Neural Networks with Python Quick Start Guide

Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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Practical Computer Vision Applications Using Deep Learning with CNNs

convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you;

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TensorFlow 2 Pocket Reference

ML workflows Use code snippets as templates in building TensorFlow models and workflows Save development time by integrating prebuilt;

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Deep Learning with TensorFlow 2 and Keras

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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Machine Learning with TensorFlow

This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning and how to;

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Hands-On Convolutional Neural Networks with TensorFlow

set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later;

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Machine Learning with TensorFlow

machine learning algorithms. Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement;

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TensorFlow For Dummies

TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with;

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Learn Amazon SageMaker

with popular deep learning libraries, such as TensorFlow and PyTorch, to extend the capabilities of existing models. You'll also see how;

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The Deep Learning Workshop

learning models with TensorFlow and Keras. What you will learn Understand how deep learning, machine learning, and artificial;

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