Book Image

Intelligent Projects Using Python

By : Santanu Pattanayak
Book Image

Intelligent Projects Using Python

By: Santanu 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)

Mobile App for Movie Review Sentiment Analysis

In this modern age, sending data to AI-based applications in the cloud for inference is commonplace. For instance, a user can send an image taken on a mobile phone to the Amazon Rekognition API, and the service can tag the various objects, people, text, scenes, and so on, present in the image. The advantage of employing the service of an AI-based application that's hosted in the cloud is its ease of use. The mobile app just needs to make an HTTPS request to the AI-based service, along with the image, and, within a few seconds, the service will provide the inference results. A few of these machine learning as a service providers are as follows:

  • Amazon Rekognition
  • Amazon Polly
  • Amazon Lex
  • Microsoft Azure Cognitive Services
  • IBM Watson
  • Google Cloud Vision

The following diagram, Figure 7.1, illustrates the architecture of this kind...