Question

There Is No Exact Formula For Calculating The Number Of Hidden Layers, As Well As The Number Of Neurons In Each Hidden Layer. Justify

Answer 1

There are no exact formula for calculating the number of hidden layers, as well as the number of neurons in each hidden layer. This statement can be justified below.

• For any input-output mapping function in supervised learning, there exists a MLP with NH1 neurons in the hidden layer which is approximately correct. this is stated in accordance to the universal Approximation Theorem.
• Experts suggest a trial and error method to find the number of hidden layer and the number of neurons in it. Although there is a huge difference in the data found.

Answer 2

Answer:

True

Explanation:

There is no exact formula for calculating the number of the hidden layers as well as the number of neurons in each hidden layer.