Python Artificial Intelligence Projects will help you to build smart and practical AI-based systems leveraging deep learning and reinforcement learning. The projects illustrated in this book cover a wide range of domain problems related to healthcare, e-commerce, expert systems, surveillance fashion industry, mobile-based applications, and self-driving cars using techniques such as convolutional neural networks, deep reinforcement learning, LSTM-based RNNs, restricted Boltzmann machines, generative adversarial networks, machine translation, and transfer learning. The theoretical aspects of building the intelligent applications illustrated in this book will enable the reader to extend the projects in interesting ways and get them up to speed in building impactful AI applications. By the end of this book, you will be skilled enough to build your own smart models to tackle any kind of problem without any hassle.
Intelligent Projects Using Python – Santanu Pattanayak
Python exec()
Python String split()
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python RegEx
Python Program to Find All File with .txt Extension Present Inside a Directory
Python classmethod()
Python Program to Extract Extension From the File Name
Python Set update()
Data Science and Big Data Analytics - EMC Education Services
Python Program to Create a Long Multiline String
APIs in Node.js vs Python - A Comparison
Pattern recognition and machine learning - Christopher M.Bishop
Python reversed()
Python String upper()
Python List Comprehension
Python Set difference()
Python Dictionary fromkeys()
Python Program to Compute the Power of a Number
Python Program to Find the Largest Among Three Numbers
Python Program to Check Armstrong Number
Python strptime()
Python Program to Find the Factors of a Number
Python Program to Check Prime Number
Python String encode()
Python pass statement
Python input()
Python slice()
Python Program to Get File Creation and Modification Date
Python frozenset()
Python compile()
Python Program to Differentiate Between del, remove, and pop on a List
Python List copy()