Intelligent Projects Using Python
Idioma: inglés
Editorial: Packt Publishing Limited, 2019
- Tapa blanda
- Nuevo

Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Vendedor de AbeBooks desde 11 de junio de 1999
Condición: Nuevo
EUR 49,02
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N° de ref. del artículo L0-9781788996921
- Título
- Intelligent Projects Using Python
- Autor
- Santanu Pattanayak
- Editorial
- Packt Publishing Limited
- Año de publicación
- 2019
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 10
- 1788996925
- ISBN 13
- 9781788996921
- Peso del artículo
- 814 gramos
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
- Foundations of Artificial Intelligence Based Systems
- Transfer Learning
- Neural Machine Translation
- Style Transfer in Fashion Industry using GANs
- Video to text Translation Applications
- Intelligent Recommender System
- Mobile App for Sentiment Analysis of Movie Reviews from Twitter feed
- Conversational AI Chat bots for Customer Services
- Regenerating Captcha using Audio Morphing
- Train autonomous vehicles to avoid obstacles using Reinforcement Learning
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Fairford, GLOS, Reino Unido
Vendedor de AbeBooks desde 11 de junio de 1999
Tarifas de envío de Reino Unido a Estados Unidos de America
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|---|---|---|
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