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Hands-On Deep Learning with TensorFlow

classification with TensorFlow * Design and train a multilayer neural network with TensorFlow * Intuitively understand convolutional neural networks;

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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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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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Reinforcement Learning for Finance

generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming;

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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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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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The Deep Learning Workshop

learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on;

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Practical TensorFlow.js

applications.You'll work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks;

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Hands-On Image Generation with TensorFlow

Generate high-resolution photos with Progressive GAN and StyleGAN Who this book is forThe Hands-On Image Generation with TensorFlow book is for;

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Hands-On Deep Learning with Apache Spark

learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications;

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Hands-On Computer Vision with TensorFlow 2

. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural;

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Hands-On Machine Learning with Scikit-Learn and TensorFlow

of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what;

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

of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what;

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Machine Learning Using TensorFlow Cookbook

techniques and use Estimators to train linear models Execute neural networks and improve predictions on tabular data Master convolutional neural;

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Deep Learning with TensorFlow 2 and Keras

neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

convolutional neural networks Handle natural language datasets with recurrent neural networks Use reinforcement learning to solve games such as tic;

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TensorFlow Machine Learning Cookbook

Linear Regression techniques with TensorFlow * Learn SVMs with hands-on recipes * Implement neural networks and improve predictions * Apply;

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Principles and Labs for Deep Learning

become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications;

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Hands-On Neural Networks with TensorFlow 2.0

of use for developers. This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting;

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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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Advanced Applied Deep Learning

algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object;

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Practical TensorFlow.js

'll work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks;

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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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The The TensorFlow Workshop

problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural;

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Hands-On Artificial Intelligence for Beginners

TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks;

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TensorFlow Deep Learning Projects

using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so;

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Programming with TensorFlow

hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The;

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