Explain Step / Threshold and Leaky ReLU Activation Functions
(a) Step / Threshold Activation FunctionAns: Step Activation function is also called as Binary Step Function as it produces binary output
Explain Hyperbolic Tangent or Tanh, ReLU (Rectified Linear Unit)
(a) Hyperbolic Tangent or Tanh Ans: The Activation Function which is better than Sigmoid Function is Tanh function which is also
Explain Logistic or Sigmoid Activation Function
Ans: Sigmoid is an activation function which is in S shape curve. It takes real value as an input and
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An AI First: Voice-Mimicking Software reportedly used in a Major heist
Voice-Mimicking is an art. If anyone imitates other person it’s a hidden talent of that person. But the same voice
Explain Activation Function in Neural Network and its types.
Ans: It is a Function used in Neural Network in order to calculate weighted sum and add bias with it.
Exploring ‘OR’, ‘XOR’,’AND’ gate in Neural Network?
Ans: AND GateFrom our knowledge of logic gates, we know that an AND logic table is given by the diagram
Explain Deep Neural network and Shallow neural networks?
Ans: Shallow neural networks give us basic idea about deep neural network which consist of only 1 or 2 hidden
Explain sigmoid Neurons
Ans: A sigmoid neuron is similar to the perceptron neuron. A sigmoid neuron can handle more variation in values than
Understanding single layer Perceptron and difference between Single Layer vs Multilayer Perceptron
Ans: Single layer perceptron is a simple Neural Network which contains only one layer. The single layer computation of perceptron