Question

The number of nodes in the input layer is 6 and the hidden layer is 10. The maximum number of connections from the input layer to the hidden layer is : *
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Answer 1

Answer:

6 times 10 = 60

as every node of input layer is connected to every node of the hidden layer

Answer 2

The maximum number of connections from input layer to hidden layer are $60$ .

Explanation:

• A multilayer perceptron (MLP) is a type of feed forward artificial neural network (ANN).

• An MLP consists of three node- layers at the least: an input layer, a hidden layer and an output layer.

• Each node is a neuron except for the nodes in input layer.

• Neurons use a nonlinear activation function.

• MLP is considered to be a fully connected directed graph. Hence, the number of connections between input layer and hidden layer is the product of number of nodes both the layers have.  

• Hence, The maximum number of connection from input layer to hidden layer are $6x10=60$  .