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Intelligent Projects Using Python

Intelligent Projects Using Python

By : Pattanayak
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Intelligent Projects Using Python

Intelligent Projects Using Python

5 (3)
By: Pattanayak

Overview of this book

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.
Table of Contents (12 chapters)
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Style Transfer in Fashion Industry using GANs

The concept of style transfer refers to the process of rendering the style of a product into another product. Imagine that your fashion-crazy friend bought a blue-printed bag and wanted to get a pair of shoes of a similar print to go with it. Up until 2016, this might not have been possible, unless they were friends with a fashion designer who would first have to design a shoe before it was approved for production. With the recent progress in generative adversarial networks, however, this kind of design process can be carried out easily.

A generative adversarial network is a network that learns by playing a zero sum game between a generator network and a discriminator network. Let's say that a fashion designer wants to design a handbag of a specific structure and is exploring different prints. The designer might sketch the structure...

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