MACHINE LEARNING

Previous
Next

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Every Artificial Neural must have at least ____
A
two layers.
B
three layers.
C
four layers.
D
None of the above
Explanation: 

Detailed explanation-1: -Input layer-initial data for the neural network. Hidden layers-intermediate layer between input and output layer and place where all the computation is done. Output layer-produce the result for given inputs.

Detailed explanation-2: -If data is less complex and is having fewer dimensions or features then neural networks with 1 to 2 hidden layers would work. If data is having large dimensions or features then to get an optimum solution, 3 to 5 hidden layers can be used.

Detailed explanation-3: -There are three layers; an input layer, hidden layers, and an output layer. Inputs are inserted into the input layer, and each node provides an output value via an activation function. The outputs of the input layer are used as inputs to the next hidden layer.

There is 1 question to complete.
Previous
Next