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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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Deep Learning with TensorFlow

historical development and progress of deep learning * Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x;

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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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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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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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Python Advanced Guide to Artificial Intelligence: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents us

Mastering TensorFlow 1.x by Armando Fandango Deep Learning for Computer Vision by Rajalingappaa Shanmugamani What you will learn Explore how an ML;

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What's New in TensorFlow 2.0

your existing code from TensorFlow 1.x to TensorFlow 2.0 seamlessly Book DescriptionTensorFlow is an end-to-end machine learning platform for;

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TensorFlow 2.0 Quick Start Guide

book is forData scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will;

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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 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

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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TensorFlow 1.x Deep Learning Cookbook

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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TensorFlow 2 x in the Colaboratory Cloud

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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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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TensorFlow Deep Learning Projects

very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects. TensorFlow Deep;

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Tensorflow 2

learning, linear and logical regression, etc. Covers TensorFlow 2 and previous versions that run with TF2. Includes companion files with source;

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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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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;

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Hands-On Deep Learning for Images with TensorFlow

fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;

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Machine Learning with Scikit-Learn and TensorFlow

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Machine Learning Using TensorFlow Cookbook

. With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement;

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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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Hands-On Convolutional Neural Networks with TensorFlow

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

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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The Deep Learning Workshop

Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition;

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