Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy

© Ahmed Fawzy Gad  2018

Ahmed Fawzy GadPractical Computer Vision Applications Using Deep Learning with CNNshttps://doi.org/10.1007/978-1-4842-4167-7_2

2. Artificial Neural Networks

Ahmed Fawzy Gad¹ 

(1)

Menoufia, Egypt

 

Machine learning (ML) problems can be divided into three categories: supervised, unsupervised, and reinforcement. In supervised learning, a human expert conducts some experiments in a restricted environment and notices their results. The supervised learning algorithm explores the data collected from experiments to map inputs to outputs. For example, a restricted environment might have a robot that wants to go from one side of a small room to another. There are some obstacles in the room that may make the robot fall. The supervisor provides ...