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 strptime()
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Set update()
Python List copy()
Python Program to Copy a File
Deep Learning with Python - Francois Chollet
Python Program to Generate a Random Number
Python Anonymous / Lambda Function
Python String encode()
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python String rsplit()
Python Program to Compute all the Permutation of the String
Python Set add()
Python Functions
Python File I/O Operation
Python String isdecimal()
Python String translate()
Python Program to Merge Mails
Python frozenset()
Python Program to Find the Sum of Natural Numbers
Python Program to Create a Countdown Timer
Python Closures
Python Program to Check the File Size
Python String rstrip()
Medical Image Segmentation Using Artificial Neural Networks
Python String count()
Python Directory and Files Management
Python Program to Return Multiple Values From a Function
Python Set discard()
Python Set pop()
Python String zfill()
Python open()
