Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

© Hisham El-Amir and Mahmoud Hamdy 2020

H. El-Amir, M. HamdyDeep Learning Pipelinehttps://doi.org/10.1007/978-1-4842-5349-6_11

11. Convolutional Neural Network

Hisham El-Amir¹  and Mahmoud Hamdy¹

(1)

Jizah, Egypt

 

In the previous chapters, we studied fully connected multilayer neural networks and their training, using backpropagation. In a typical multilayer neural network layer, with n input nodes and m neurons, we need to learn n × m parameters or weights. While a multilayer neural network may perform well in some cases—in particular, for those where the features of different dimensions are independent—there are some additional properties in the connection architecture that we might desire. For example, if it is known that the dimensions of the input ...