TENSORFLOW DEEP LEARNING PROJECTS: 10 REAL-WORLD PROJECTS ON COMPUTER VISION, MACHINE TRANSLATION, CHATBOTS, AND REINFORCEMENT LEARNING

ALEXEY GRIGOREV , RAJALINGAPPAA SHANMUGAMANI , ALBERTO BOSCHETTI , LUCA MASSARON , ABHISHEK THAKUR

ISBN 10: 1788398068 / ISBN 13: 9781788398060

Edité par Packt Publishing, 2018

A propos de cet article

New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-408060

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Titre : TENSORFLOW DEEP LEARNING PROJECTS: 10 ...

Éditeur : Packt Publishing

Date d'édition : 2018

Reliure : Couverture souple

Etat : Brand New

Edition : Edition internationale

A propos de ce titre

Présentation de l'éditeur:

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world 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 real-world 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 end-to-end deep learning solutions to tackle different real-world 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!

Who This Book Is For

This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book.

Table of Contents

1. Recognizing traffic signs using Convnets
2. Annotating Images with Object Detection API
3. Caption generation for images
4. Building GANs for Conditional Image Creation
5. Stock Price Prediction with LSTM
6. Create & Train Machine Translation Systems
7. Train and set up a Chatbot, able to discuss like a human
8. Detecting Duplicate Quora Questions
9. Building a TensorFlow Recommender Systems
10. Video Games by Reinforcement learning