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Intelligent Projects Using Python
Intelligent Projects Using Python

Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

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Profile Icon Pattanayak
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Jan 2019 342 pages 1st Edition
eBook
$9.99 $29.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Pattanayak
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Jan 2019 342 pages 1st Edition
eBook
$9.99 $29.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$9.99 $29.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m

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Intelligent Projects Using Python

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Key benefits

  • A go-to guide to help you master AI algorithms and concepts
  • 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance
  • Use TensorFlow, Keras, and other Python libraries to implement smart AI applications

Description

This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle.

Who is this book for?

This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

What you will learn

  • Build an intelligent machine translation system using seq-2-seq neural translation machines
  • Create AI applications using GAN and deploy smart mobile apps using TensorFlow
  • Translate videos into text using CNN and RNN
  • Implement smart AI Chatbots, and integrate and extend them in several domains
  • Create smart reinforcement, learning-based applications using Q-Learning
  • Break and generate CAPTCHA using Deep Learning and Adversarial Learning

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 31, 2019
Length: 342 pages
Edition : 1st
Language : English
ISBN-13 : 9781788996921
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Product Details

Publication date : Jan 31, 2019
Length: 342 pages
Edition : 1st
Language : English
ISBN-13 : 9781788996921
Category :
Languages :
Tools :

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Table of Contents

10 Chapters
Foundations of Artificial Intelligence Based Systems Chevron down icon Chevron up icon
Transfer Learning Chevron down icon Chevron up icon
Neural Machine Translation Chevron down icon Chevron up icon
Style Transfer in Fashion Industry using GANs Chevron down icon Chevron up icon
Video Captioning Application Chevron down icon Chevron up icon
The Intelligent Recommender System Chevron down icon Chevron up icon
Mobile App for Movie Review Sentiment Analysis Chevron down icon Chevron up icon
Conversational AI Chatbots for Customer Service Chevron down icon Chevron up icon
Autonomous Self-Driving Car Through Reinforcement Learning Chevron down icon Chevron up icon
CAPTCHA from a Deep-Learning Perspective Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(3 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Placeholder Mar 19, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am working in retail, especially "fast fashion" industry. Chapter 4: Style transfers using GAN is one of the use cases I am working on. This book talks about different variants of GAN such as DiscoGAN and CycleGAN in-depth. Really helpful for me.
Amazon Verified review Amazon
victor seletsky Jan 12, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great
Amazon Verified review Amazon
AnirbaN Jul 27, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Really good
Amazon Verified review Amazon
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