TensorFlow Deep Learning Projects

TensorFlow Deep Learning Projects: 10 realworld projects on computer vision, machine translation, chatbots, and reinforcement learning Leverage the power of Tensorflow to design deep learning systems for a variety of realworld scenarios Key Features Build efficient deep learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects related to Computer Vision, stock prediction, chatbots and more Book Description TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 realworld projects. TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build endtoend deep learning solutions to tackle different realworld problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently. What you will learn Set up the TensorFlow environment for deep learning Construct your own ConvNets for effective image processing Use LSTMs for image caption generation Forecast stock prediction accurately with an LSTM architecture Learn what semantic matching is by detecting duplic
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《Deep Learning with TensorFlow》[随书源代码，2017]
20171011《Deep Learning with TensorFlow》[随书源代码,《Deep Learning with TensorFlow》[随书源代码
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Packt.TensorFlow.Deep.Learning.Projects.2018.rar
20181020Key Features Build efficient deep learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects related to Computer Vision, stock prediction, chatbots and more Book Description TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 realworld projects. TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build endtoend deep learning solutions to tackle different realworld problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently. What you will learn Set up the TensorFlow environment for deep learning Construct your own ConvNets for effective image processing Use LSTMs for image caption generation Forecast stock prediction accurately with an LSTM architecture Learn what semantic matching is by detecting duplicate Quora questions Set up an AWS instance with TensorFlow to train GANs Train and set up a chatbot to understand and interpret human input Build an AI capable of playing a video game by itself –and win it!
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TensorFlow Deep Learning Projects epub
20180412TensorFlow Deep Learning Projects 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
 23.61MB
TensorFlow Deep Learning ProjectsPackt Publishing(2018).epub
20180331TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. You'll learn to train different types of deep learning models using TensorFlow, including ...
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TensorFlow for Deep Learning
20181225TensorFlow for Deep Learning通过实际示例教授概念，并帮助您从头开始构建深度学习基础知识。它非常适合具有设计软件系统经验的开发人员，对熟悉脚本的科学家和其他专业人员非常有用，但不一定与设计学习算法有关。
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Python Deep Learning Projects
20190105Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems By 作者: Matthew Lamons – Rahul Kumar – Abhishek Nagaraja ISBN10 书号...
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Deep Learning with TensorFlow: Explore neural networks with Python
20180729you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects. Style and ...
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Deep.Learning.with.TensorFlow
20171107you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects. Style and ...
 137.17MB
Machine Learning Projects with TensorFlow 2.0：Supercharge your Machine Learning
20200502TensorFlow is the world’s most widely adopted framework for Machine Learning and Deep Learning. TensorFlow 2.0 is a major milestone due to its inclusion of some major changes making TensorFlow easier...
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Giancarlo Zaccone deep learning with tensorflow pdf
20180224you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects. What You ...
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Francois CholletDeep Learning with Python(2017)
20180127By the time you finish, you'll have the knowledge and handson skills to apply deep learning in your own projects. François Chollet works on deep learning at Google in Mountain View, CA. He is the ...
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Deep Learning Illustrated:A Visual, Interactive Guide
20190910To help you progress quickly, he focuses on the versatile, highlevel deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also ...
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R Deep Learning Essentials 2nd Edition
20181002As you make your way through the book, you will explore deep learning libraries, such as Keras, MXNet, and TensorFlow, and create interesting deep learning models for a variety of tasks and problems,...
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Python Deep Learning: Exploring deep learning techniques, neural network
20190207Exploring an advanced state of the art deep learning models and its applications using Popular python libraries like Keras, Tensorflow, and Pytorch Key Features • A strong foundation on neural ...
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BUILDING MACHINE LEARNING PROJECTS WITH TENSORFLOW.pdf
20171129Google Tensorflow 深度学习开源框架，编程与开发学习教程。
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JasonBrownleedeep_learning_with_python(pdf + sourcecode v1.15 2018).zip
20190905Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow. Tap into their power in a few lines of code using Keras, the bestofbreed applied deep learning library. ...
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Deep learning with Python in Tensorflow (book + complete code for 24 projects)
20180212In this book you will discover the techniques, recipes and skills in deep learning that you can then bring to your own machine learning projects. Deep learning does have a lot of fascinating math ...

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