How to visualize a NN using MXNet

This recipe helps you visualize a NN using MXNet

Recipe Objective: How to visualize a NN using MXNet?

This recipe explains how to visualize a Neural Network(NN) using MXNet.

Step 1: Importing library

Let us first import the necessary libraries. We'll import mxnet as mx.

import mxnet as mx

Step 2: Visualize Neural Networks

We have built a basic neural network sample to demonstrate the use of mx.viz.plot_network. mx.viz.plot_network presents a neural network in the form of a graph. Visualization gives an instance of computation.

net = mx.sym.Variable('data')
net = mx.sym.FullyConnected(data=net, name='fc1', num_hidden=128)
net = mx.sym.Activation(data=net, name='relu1', act_type='relu')
net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=10)
net = mx.sym.SoftmaxOutput(data=net, name='out')
mx.viz.plot_network(net, shape={'data':(100, 200)})

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I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More

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