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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;

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Machine Learning Using TensorFlow Cookbook

Transformer models for various NLP tasks Apply reinforcement learning algorithms using the TF-Agents framework Understand linear regression;

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TensorFlow

reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will;

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TensorFlow 2 Reinforcement Learning Cookbook

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key;

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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

. What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow;

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Hands-On Machine Learning with Scikit-Learn and TensorFlow

close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book;

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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 Machine Learning with Scikit-Learn, Keras, and TensorFlow

close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book;

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Artificial Intelligence, Machine Learning, and Deep Learning

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will;

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Reinforcement Learning

starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage;

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Deep Learning with TensorFlow 2 and Keras

learning systems with TensorFlow 2 and the Keras API Use Regression analysis, the most popular approach to machine learning Understand ConvNets;

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TensorFlow Machine Learning Cookbook

About This Book * Your quick guide to implementing TensorFlow in your day-to-day machine learning activities * Learn advanced techniques;

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Hands-On Reinforcement Learning with Python

learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you;

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Deep Reinforcement Learning with Python

deep reinforcement learning implementation using popular deep learning frameworks such as TensorFlow and PyTorch. In the end, you'll;

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Applied Reinforcement Learning with Python

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important;

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TensorFlow 1.x Deep Learning Cookbook

and implement tricky neural networks using Google's TensorFlow 1.x * An easy-to-follow guide that lets you explore reinforcement learning;

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TensorFlow Deep Learning Projects

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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Python Machine Learning

Master the frameworks, models, and techniques that enable machines to 'learn' from data Use scikit-learn for machine learning and TensorFlow for;

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Python Reinforcement Learning Projects

using TensorFlow for RL Use RL algorithms in Python and TensorFlow to solve CartPole balancing Create deep reinforcement learning algorithms to;

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TensorFlow 2.0 Quick Start Guide

TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an;

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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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Python Reinforcement Learning

explore RL and deep RL from scratch, this Learning Path is for you. Prior knowledge of linear algebra is expected.;

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Hands-On Deep Learning with TensorFlow

about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data;

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Machine Learning and Deep Learning Using Python and TensorFlow

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to;

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Deep Learning with TensorFlow

and mobile computing * Train machines quickly to learn from data by exploring reinforcement learning techniques * Explore active areas;

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

of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence;

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