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

Description

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

Key Features

• A go-to accompagnateur to help you master AI algorithms and concepts
• 8 real-world projects tackling different challenges in healthcare, e-bien, and surveillance
• Use TensorFlow, Keras, and other Eunecte 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 Eunecte.

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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 Disposition 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 coffre a model to detect diabetic retinopathy conditions in the human eye and create an astucieux system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement articulation transfer using GANs. Later you will learn to build AI-based recommendation systems, a spirituelle app for Adoration analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will coffre and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Eunecte ecosystem such as TensorFlow, Keras and more to bring the core aspects of Disposition 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.

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What you will learn

• Build an astucieux Disposition translation system using seq-2-seq neural translation machines
• Create AI applications using GAN and deploy smart spirituelle 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, Disposition 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 Eunecte programming and a familiarity with basic Disposition learning and deep learning concepts are expected to help you get the most out of the book

Table of Contents

1. Foundations of Artificial Amitié Based Systems
2. Transfer Learning
3. Neural Disposition Translation
4. Style Transfer in Fashion Industry using GANs
5. Video to text Translation Applications
6. Intelligent Recommender System
7. Mobile App for Adoration 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