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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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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 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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Recurrent Neural Networks with Python Quick Start Guide

architectures for deep learning with Python's most popular TensorFlow framework. Key Features Train and deploy Recurrent Neural Networks using the;

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Hands-On Convolutional Neural Networks with TensorFlow

solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the;

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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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TensorFlow 2.0 Computer Vision Cookbook

vision tasks using TensorFlow. The book begins by taking you through the basics of deep learning for computer vision, along with covering;

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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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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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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 Using TensorFlow Cookbook

learning library, TensorFlow. This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data;

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TensorFlow 2 x in the Colaboratory Cloud

well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow;

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Python Reinforcement Learning Projects

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries Key Features Implement Q-learning;

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Automated Deep Learning Using Neural Network Intelligence

state-of-the-art deep learning models Compress the model to eliminate unnecessary deep learning layers Who This Book Is For Intermediate;

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R Deep Learning Essentials

techniques for finding the best hyperparameters for deep learning models Create NLP models using Keras and TensorFlow in R Use deep learning for;

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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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Deep Learning for Computer Vision

applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and;

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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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Hands-On Deep Learning with TensorFlow

This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn;

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Mastering Computer Vision with TensorFlow 2.x

, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the;

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Pro Deep Learning with TensorFlow

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;

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Hands-On Image Generation with TensorFlow

Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch;

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TensorFlow 2 Reinforcement Learning Cookbook

deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras API Implement state-of-the-art deep reinforcement;

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Deep Learning with JavaScript

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js;

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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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Deep Learning Essentials

Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with;

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