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_5

5. Convolutional Neural Networks

Ahmed Fawzy Gad¹ 

(1)

Menoufia, Egypt

 

The previously discussed architecture of ANNs is called FC neural networks (FCNNs). The reason is that each neuron in a layer i is connected to all neurons in layers i-1 and i+1. Each connection between two neurons has two parameters: the weight and the bias. Adding more layers and neurons increases the number of parameters. As a result, it is very time-consuming to train such networks even on devices on multiple graphics processing units (GPUs) and multiple central processing units (CPUs). It becomes impossible to train such networks ...