MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What is the function of soma in BNN
A
responsible for receiving the information from other neurons it is connected to.
B
responsible for processing of information.
C
It is just like a cable through which neurons send the information.
D
It is the connection between the axon and other neuron dendrites
Explanation: 

Detailed explanation-1: -Soma − It is the cell body of the neuron and is responsible for processing of information, they have received from dendrites. Axon − It is just like a cable through which neurons send the information.

Detailed explanation-2: -Conceptually, binarized neural networks (BNN) are similar to regular feedforward neural networks (NN). One difference is that the weights and activations in a BNN are constrained to be only two values: 1 and-1, hence the name “binarized”. Because of this, there is only one activation function used: the sign function.

Detailed explanation-3: -Binary Step Function. Linear Activation Function. Sigmoid/Logistic Activation Function. The derivative of the Sigmoid Activation Function. Tanh Function (Hyperbolic Tangent) Gradient of the Tanh Activation Function. ReLU Activation Function. The Dying ReLU problem. More items

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