WorksheetsML Fest Quiz- Aug-29-2020
Total questions: 30
Worksheet time: 17mins
Statement: Artificial Intelligence (AI) & Rule Based Inference is Machine Learning?
True
False
What is the output of Max pooling as shown
None
which one is used to evaluate how good your model’s performance is?
Activation Function
Algorithm
Cost function
Epochs
Which is not an activation function ?
ReLU
Sigmoid
Softmax
Gradient Descent
Tanh
What does NLP Stand for?
Neutral Language Processing
Naive Language processing
Natural Language Pipeline
Natural language processing
A Pearson correlation between two variables is zero but, their values can still be related to each other.
True
False
No such thing as Pearson correlation
for correlation you need >2 variables
Statement : CNN returns 0% probability if an object with a label not used in the training list is fed as part of test data?
True
False
What does CNN stand for?
Conventional Neural Networks
Constitutional Neuron Networks
Convolutional Neural Networks
Convolutional Natural Networks
The range of a ReLU function is
[ 0 , 1 ]
[ 0 , infinity ]
[ -1 , 1 ]
[ - infinity , infinity ]
What does DTC stand for?
Direct Transfer Codes
Diagnostic Trouble Code
Detect Text Character
Detect trouble Codes
Point on the surface of the graph of a function when the derivatives in orthogonal points are all 0 but, not a local extremum of function is known as ?
Global Minima
Local Minima
Saddle Point
Minimax Point
What does one epoch actually mean?
One Forward pass
One Backward pass
one, Forward pass+ backward pass
None
How to Fix Exploding Gradients?
Re-Design the Network Model
Use Long Short-Term Memory Networks
Decrease Batch size
Use Gradient Clipping
Use Weight Regularization
Over fitting happens due to ?
Low bias High Variance
High bias High Variance
Low bias low Variance
High bias low Variance
When you flip images horizontally, vertically, crop, resize, rotate, mirror etc. This is technically known as ?
Image condensation
Image Augmentation
Image filtration
Image cleaning
The CNN architecturel with 5 layers is
AlexNet
LeNet
Resnet50
None
This is the function of Droupout
Drops the model
Turns off Neurons
Decrease over-fitting
Drops the Batch size
What is the function of " set_random_Seed = "
It seeds for ever to produce best accuracy
It produces same results when run multiple times
It produces the random Hyperparameters to increase model accuracy
None.
Which among the following is not a HyperParameter
Epoch
Batch Size
Verbose
learning rate
What does Normalization mean?
Values in between 0 to 1
Values in between 0 to 255
Values in between -1 to 1
None
In a decision tree, the one with lowest impurity is decided as which Node.
Leaf Node
Root Node
Internal Node
Branch Node
For Adaboosting vs Gradient Boosting, learning happens by the optimization of what, respectively?
Cost function vs Loss function
Weights vs Loss function
Loss function vs Weights
None.
Which are the Ensemble tecniques?
Voting Classifier
Bagging
Boosting
Aggregating
Bagging method is also known as ?
Feature sample Aggregation
Row sample Aggregation
Bootstrap Aggregation
Data Aggregation
What is a base model in a Random Forest?
Naive Bayes
Logistic Regression
Linear Regression
Decision Tree
Which of the following is not a kernel in CNN
Embossed
Gaussian Blurr
Pixel contraction
Smoothening
Does Random Forest handles any missing values automatically?
True
False
Need Standardization
Need Feature scaling
These are the types of rounding error
Overfitting
Underflow
Overflow
Stagnation
What does the Derivative of a function actually mean?
It gives you the maximum value
It tells if function is continuous
It gives the slope to the function
It provides the direction of function
How was the quiz
Easy
Moderate
Balanced
Tough
