APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]


[1 X 5], [5 X 8]


[8 X 5], [ 1 X 5]


[8 X 5], [5 X 1]


[5 x 1], [8 X 5]

Detailed explanation1: There the answer is 22. 8) In a simple MLP model with 8 neurons in the input layer, 5 neurons in the hidden layer and 1 neuron in the output layer. What is the size of the weight matrices between hidden output layer and input hidden layer?
Detailed explanation2: 50. Explanation: The number of nodes in the input layer is 10 and the hidden layer is 5, So, the maximum number of connections from the input layer to the hidden layer are 50.
Detailed explanation3: The size of the hidden layer is normally between the size of the input and output. It should be should be 2/3 the size of the input layerplus the size of the o/p layer The number of hidden neurons should be less than twice the size of the input layer.
Detailed explanation4: The number of hidden neurons should be between the size of the input layer and the size of the output layer. The number of hidden neurons should be 2/3 the size of the input layer, plus the size of the output layer. More items