Artificial Neural Network

The most suitable activation function for hidden layer

• Sigmoid

• ReLu

• Softmax

• tanh

Deep learning algorithm for sequential problem

• CNN

• ANN

• DBN

• RNN

The number of batches needed to complete one epoch

• Iterations

• Epochs

• Batch

The total number of training examples present in a single batch

• Epochs

• Batch

• Iteration

When an ENTIRE dataset is passed forward and backward through the neural network only ONCE

• One epoch

• One batch

• One iteration

1. What does a neuron compute?

• A neuron computes an activation function followed by a linear function (z = Wx + b)

• A neuron computes a linear function (z = Wx + b) followed by an activation function

• A neuron computes a function g that scales the input x linearly (Wx + b)

• A neuron computes the mean of all features before applying the output to an activation function

What activation function is it?

• sigmoid

• tanh

• ReLU

• ELU

What activation function is it?

• sigmoid

• tanh

• ReLU

• ELU

How many hidden layers have the following Neural network

• 4

• 5

• 6

• 7

How many input layers have the following Neural network

• 1

• 2

• 3

• 4