APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
The activation of each neuron in a layer is determined by the ____ of the activations of all the neurons in the previous layer.
|
|
weighted sum
|
|
|
sum
|
|
|
level
|
|
|
None of the above
|
Explanation:
Detailed explanation-1: -ReLU (Rectified Linear Unit) Activation Function The ReLU is the most used activation function in the world right now. Since, it is used in almost all the convolutional neural networks or deep learning.
Detailed explanation-2: -Simply put, an activation function is a function that is added into an artificial neural network in order to help the network learn complex patterns in the data. When comparing with a neuron-based model that is in our brains, the activation function is at the end deciding what is to be fired to the next neuron.
There is 1 question to complete.