How to chain layers of neural network in MXNet

This recipe helps you chain layers of neural network in MXNet

Recipe Objective: How to chain layers of neural network in MXNet?

This recipe explains how to chain layers of neural network in MXNet.

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Step 1: Importing library

Let us first import the necessary libraries. We'll import the neural network (nn alias) package from mxnet.gluon

from mxnet.gluon import nn

Step 2: Chain Layer

We can chain layers into the neural network with the help of sequential. We execute the layers sequentially, one after another. The layers are piled in the same manner they are defined. Any layer can be excessed by its index.

layer = nn.Sequential()
layer.add(nn.Dense(720,in_units=3,activation='relu'),
    nn.Dense(316, activation='relu'), nn.Dense(10))
layer[1]

Step 3: Weights and Biases

We can access weights and bias with the .data() method. We can access the weight or bias of a specific layer by using its index.

layer[0].weight.data()
layer[2].bias.data()

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