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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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Programming with TensorFlow

is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source;

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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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TensorFlow 2.0 Quick Start Guide

techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book DescriptionTensorFlow;

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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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TensorFlow Machine Learning Cookbook

-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you;

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Python 3 for Machine Learning

This book is designed to provide the reader with basic Python3 programming concepts related to machine learning. The first four chapters;

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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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What's New in TensorFlow 2.0

Get to grips with key structural changes in TensorFlow 2.0 Key Features Explore TF Keras APIs and strategies to run GPUs, TPUs, and;

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The The TensorFlow Workshop

Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging;

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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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Beginning Deep Learning with TensorFlow

to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you'll get into the heavy;

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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 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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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

Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. Key Features;

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Introduction to Deep Learning

, and references for further reading. An early chapter is devoted to Tensorflow and its interface with Python, the widely used programming;

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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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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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TensorFlow For Dummies

on the subject. Inside, you'll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine;

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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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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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Beginning Deep Learning with TensorFlow

TensorFlow 2 and Keras.;

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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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Hands-On Machine Learning with Scikit-Learn and TensorFlow

shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-scikit-learn and TensorFlow-author;

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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author;

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