APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
The input data travels over the network (propagates) until it reaches the output layer. This is called ____
|
|
Back propagation
|
|
|
Forward propagation
|
|
|
Either A or B
|
|
|
None of the above
|
Explanation:
Detailed explanation-1: -Backward Propagation is the process of moving from right (output layer) to left (input layer). Forward propagation is the way data moves from left (input layer) to right (output layer) in the neural network. A neural network can be understood by a collection of connected input/output nodes.
Detailed explanation-2: -The “forward pass” refers to calculation process, values of the output layers from the inputs data. It’s traversing through all neurons from first to last layer. A loss function is calculated from the output values.
There is 1 question to complete.