Introduction to Deep Learning and Neural Network

__________________________ is a branch of machine learning that uses data, loads and loads of data, to teach computers how to do things only humans were capable of before.

• Supervised Learning

• Deep Learning

• Unsupervised Learning

In the context of deep learning, computer determines derivative of a given function using mathematical formula

• True

• False

Given a deep neural network shown in the figure, what is the dimension of weight at the 3rd layer?

• 5 x 4

• 4 x 5

• 4 x 3

• 3 x 4

The most suitable activation function for hidden layer

• Sigmoid

• ReLu

• Softmax

• tanh

What does TPU stands for?

• Training Processor Unit

• Training Processing Unit

• Tensor Processor Unit

• Tensor Processing Unit

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

_______________is an algorithm for pattern recognition by Rosenblatt in 1958.

• Megatron

• Perceptron

• Vultron

• Terceptron