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

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

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python

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

Book Description

This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python.
The book covers the 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 eco-system 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 problem without any hassle.

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

Who this book is 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

Table of Contents

  1. Foundations of Artificial Intelligence-Based Systems
  2. Transfer Learning
  3. Neural Machine Translation
  4. Style Transfer in Fashion Industry using GANs
  5. Video to text Translation Applications
  6. Intelligent Recommender System
  7. Mobile App for Sentiment Analysis of Movie Reviews from a Twitter feed
  8. Conversational AI Chatbots for Customer Services
  9. Regenerating Captcha using Audio Morphing
  10. Train autonomous vehicles to avoid obstacles using Reinforcement Learning

You can get this book in one of the following methods:

First method:

You can buy it from Amazon here(Paper book)

The second method:
Buy it (pdf format) from this great site Payhip at just 14$, with a 70% discount.
Coupon Code: 33008888

The free method:
If you do not like to buy and just love free things, you can download it for free after you complete one of the simple offers, which is usually a simple questionnaire that requires you to complete it, or a competition that you are asked to participate in for free.
After you complete the offer, it will switch directly to the download link, to download it for free.

Note: You will not get the download link unless you complete the offer completely.

Thank you for your understanding.

You can download for free here (pdf format): Click Here