Convolutional Neural Networks

Overview

Convolutional Neural Networks are neural networks that are configured to be used with images. convolution

Data Format

Images are rectangular arrays of pixels. They can be visualized using a simple picture.


The image here is a 3 pixel by 3 pixel image. However, neural networks require a vector input. Therefore, image data is usually reshaped into a vector.

Layer Types

• Convolution Layer
• Pooling Layer

Structure

The typical structure of a convoluational neural network is to feed the inputs to a series convolutional layers, each followed by a max pooling layer and then finally passing to a set of fully connected neural network layers.