What do you mean by Epoch, Batch, Iterations in a Neural Network?
Ans:EpochIn real time we have very large datasets which we cannot feed to the computer all at once. Which means
Why we use Softmax function only at the end of the Neural Network?
Ans: Softmax Function almost work like max layer that is output is either 0 or 1 for a single output
What do you mean by dense layer and Drop out layer in Keras Neural Network?
(a) dense layerAns: Dense Layer is regular layer of neurons in Neural Network. Each neuron receives input from all previous
What are the different functions that we use in Keras to build basic Neural Network?
Ans: Different Activation functions are used in Keras in order to build Neural Network. ReLU (Rectified linear unit) is used
How do Neural Networks update weights and Biases during Back Propagation?
Ans. To reduce the error by changing the values of weights and biases.calculate the rate of change of error w.r.t
Explain Biases and Weights in Neural Network
Ans: Bias is the Pre-assumption in a model. Bias is like the intercept added in a linear equation. It is
Explain Back Propagation in Neural Network
Ans: Back Propagation is one of the types of Neural Network. Here nodes are connected in loops that is output
Explain all Zero centered activation Functions
Ans: Tanh or Hyperbolic Tangent Function is the Zero centered Activation Function. Range of values of Tanh Function is from
Explain Softmax Activation Function and difference between Sigmoid and Softmax Function
Ans: Softmax Function is mostly used in a final layer of Neural Network. Softmax Function not only maps our output