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

Editore: Packt Publishing, 2018

Riguardo questo articolo

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Codice articolo ABNR-8143

Dati bibliografici

• Titolo: TENSORFLOW DEEP LEARNING PROJECTS: 10 REAL-WORLD PROJECTS ON COMPUTER VISION, MACHINE TRANSLATION, CHATBOTS, AND REINFORCEMENT LEARNING
• Editore: Packt Publishing
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1788398068
• ISBN 13: 9781788398060
• Rilegatura: Brossura
• Edizione: Edizione Internazionale
• Condizione: New

Descrizione articolo

Riassunto

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. You'll learn how to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing this, 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.

Informazioni sull?autore

Luca Massaron is a data scientist and marketing research director specialized in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience of solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top-10 Kaggler, he has always been very passionate about every aspect of data and its analysis, and also about demonstrating the potential of data-driven knowledge discovery to both experts and non-experts. Favoring simplicity over unnecessary sophistication, Luca believes that a lot can be achieved in data science just by doing the essentials.