Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Buy

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 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.

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 Twitter feed
  8. Conversational AI Chat bots for Customer Services
  9. Regenerating Captcha using Audio Morphing
  10. Train autonomous vehicles to avoid obstacles using Reinforcement Learning
(HTML tags aren't allowed.)

Bridge to Abstract Mathematics: Mathematical Proof and Structures
Bridge to Abstract Mathematics: Mathematical Proof and Structures
Intended to bridge the gap between the standard calculus sequence and more abstract upper-division mathematics courses, this successful text provides a firm foundation in sets, logic, and mathematical proof methods. The Second Edition includes a smoother transition from the concepts of logic to actual use of these concepts in proving theorems;...
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...

Unknown Quantity: A Real and Imaginary History of Algebra
Unknown Quantity: A Real and Imaginary History of Algebra
Prime Obsession taught us not to be afraid to put the math in a math book. Unknown Quantity heeds the lesson well. So grab your graphing calculators, slip out the slide rules, and buckle up! John Derbyshire is introducing us to algebra through the ages—and it promises to be just what his die-hard fans have been waiting...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
How to Think Like a Mathematician: A Companion to Undergraduate Mathematics
How to Think Like a Mathematician: A Companion to Undergraduate Mathematics

Looking for a head start in your undergraduate degree in mathematics? Maybe you've already started your degree and feel bewildered by the subject you previously loved? Don't panic! This friendly companion will ease your transition to real mathematical thinking. Working through the book you will develop an arsenal of techniques to help...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy