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WorksheetsIntroduction to Deep Learning and Neural Network
Total questions: 15
Worksheet time: 9mins
__________________________ 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
Artificial pattern-recognition algorithms achieve human- level performance on certain tasks by this year.
1202
2002
2001
2012
exploit spatially-local correlation by enforcing a local connectivity pattern between neurons of adjacent layers.
RNN or Recurrent Neural Network
CNN or Convolution Neural Network
LSTMor Long-Short Term Memory
they perform the same task for every element of a sequence, with the output being depended on the previous computations.
RNN or Recurrent Neural Network
CNN or Convolution Neural Network
LSTMor Long-Short Term Memory
short for Robotic Exoplanet Recognition for Exoplanets that are beyond our solar system.
Roberta
Robert
Robot
Robet
Give the eight (8) examples of Real Time Application of Deep Learning.
