Intelligent Projects Using Python

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.

Type
ebook
Category
Data
publication date
2019-01-31
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

no of pages
342
duration
684
key features
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 *
approach
A unique, learn-as-you-do approach, as the reader, builds on his understanding of AI progressively with each project. This book is designed in such a way that implementing each project will empower you with a unique skillset, and enable you to implement the next project more confidently.
audience
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
meta description
Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python
short description
This book includes 9 projects on building smart and practical AI-based systems. These projects cover solutions to different domain-specific problems in healthcare, e-commerce and more. With this book, you will apply different machine learning and deep learning techniques and learn how to build your own intelligent applications for smart predictions and other insight-driven tasks.
subtitle
9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
keywords
TensorFlow, Keras, SciPy, Pandas, Healthcare, E-commerce, Surveillance, Cyber Security, Customer Service, Self-driving car
Product ISBN
9781788996921