Data structure of the model: logistic regression, neural network, convolutional neural network

The neural network can be seen in two ways, one is the set of layers, the array of layers, and the other is the set of neurons, which is the graph composed of neuron.

In a neuron-based implementation, you need to define two classes of Neuron, Weight

An instance of the neuron class is equivalent to a vertex,weight consisting of a linked list equivalent to an adjacency table and a inverse adjacency table.

In the layer-based implementation, each layer corresponds to a layer class, namely Logisticregressionlayer, Hiddenlayer, Lenetpoolinglayer

There is no data structure for the scroll layer at the moment, here is a description of the convolution operation:

Data structure of the model: logistic regression, neural network, convolutional neural network