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 Program to Transpose a Matrix
Python Namespace and Scope
Python all()
Python for Loop
Python float()
Python sorted()
Python slice()
Python List pop()
Python Program to Return Multiple Values From a Function
Introduction to Deep Learning - Eugene Charniak
Python String zfill()
Python str()
Python Set update()
Python Program to Check If a List is Empty
Python Program to Check If a String Is a Number (Float)
Python Iterators
Python Data Structures and Algorithms - Benjamin Baka
Python Program to Print Colored Text to the Terminal
Python Set isdisjoint()
Artificial Intelligence by example - Denis Rothman
Python time Module
Python String isidentifier()
Python hasattr()
Python staticmethod()
Python Object Oriented Programming
Python help()
Python vars()
Python Data Types
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python if...else Statement
Python iter()
Python Recursion