Question

In a simple MLP model with 6 neurons in input layers, 4 neurons in the hidden layers, and 1 neuron in the output layer.

What is the size of the weight matrices between the hidden output layer and input hidden layer?

a) [1X4], [4x6]

b) [6x4], [1x4]

c) [6x4], [4x1]

d) [4x1], [6x4]

Answer 1

Answer:

a=4,24

b=24,4

c=24,4

d=4,24

Answer 2

In a simple MLP model, there are 6 neurons in the input layers, 4 in hidden layers, and 1 in the output layer. Between the hidden output layer and the input hidden layer, The weight matrices size is -  [4x1], [6x4] (Option d).

• Modeling univariate time series forecasting problems with Multilayer Perceptrons, or MLPs, is possible. A simple MLP model includes a single hidden layer of nodes and an output layer that predicts the outcome.
• The formula, [nodes in layer 1 X nodes in layer 2] gives the size of weights between any two layers.

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