APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Feedforward Network
|
|
|
Backpropagation
|
|
|
Either A or B
|
|
|
None of the above
|
Detailed explanation-1: -The input layer is present at the start of the ANN. The hidden layer is between the input layer and the output layer. It takes in a set of weighted inputs and produces output through an activation function. This layer is named hidden because it does not constitute the input or the output layer.
Detailed explanation-2: -In neural networks, a hidden layer is located between the input and output of the algorithm, in which the function applies weights to the inputs and directs them through an activation function as the output. In short, the hidden layers perform nonlinear transformations of the inputs entered into the network.
Detailed explanation-3: -Input Layer– First is the input layer. Hidden Layer– The second type of layer is called the hidden layer. Output layer– The last type of layer is the output layer. A layer consists of small individual units called neurons. More items •01-Mar-2021