© 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 ...

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