Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
Authors: Santanu Pattanayak
ISBN-10: 1788996925
ISBN-13: 9781788996921
Publication Date 出版日期: 2019-01-31
Print Length 页数: 342 pages
Book Description
By finelybook
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.
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 CAPTIONING APPLICATION
6: THE INTELLIGENT RECOMMENDER SYSTEM
7: MOBILE APP FOR MOVIE REVIEW SENTIMENT ANALYSIS
8: CONVERSATIONAL AI CHATBOTS FOR CUSTOMER SERVICE
9: AUTONOMOUS SELF-DRIVING CAR THROUGH REINFORCEMENT LEARNING
10: CAPTCHA FROM A DEEP-LEARNING PERSPECTIVE
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
Authors
Santanu Pattanayak
Santanu Pattanayak works as a Staff Machine Learning Specialist at Qualcomm Corp R&D and is an author of the deep learning book Pro Deep Learning with TensorFlow – A Mathematical Approach to Advanced Artificial Intelligence in Python. He has around 12 years of work experience and has worked at GE,Capgemini,and IBM before joining Qualcomm. He graduated with a degree in electrical engineering from Jadavpur University,Kolkata and is an avid math enthusiast. Santanu is currently pursuing a master’s degree in data science from Indian Institute of Technology (IIT),Hyderabad. He also participates in Kaggle competitions in his spare time where he ranks in top 500. Currently,he resides in Bangalore with his wife.
