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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

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$43.99

Hands-On Artificial Intelligence for Beginners

$54.99

$38.99

Total $ 137.97

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

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Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Placeholder Mar 19, 2019

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

victor seletsky Jan 12, 2020

Great

AnirbaN Jul 27, 2019

Really good

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

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