CODEWITHSUNDEEP
machine-learningneural-networkkeraskeras-layer
Lakshay Sharma
Lakshay Sharma

Reputation: 877

In an input layer, what is the difference between input_dim and the number of nodes on the input layer?

Keras code for reference. Each of my input instances is a 200 dimensional vector, and I'd like the number of nodes on the input layer to be equal to 200. What does the "100" represent in the input dense layer? 

model = Sequential([
        Dense(100, input_dim=200),
        Activation('sigmoid'),
        Dense(150),
        Activation('sigmoid'),
        Dense(50),
        Activation('softmax'),
    ])

Upvotes: 0

Views: 381

Answers (1)

enterML
enterML

Reputation: 2285

'100' represents the number of nodes in the first hidden layer of your network.

Upvotes: 1

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