Which of the following is an invalid statement?
The neural network consists of many neurons, each neuron takes an input, processes it and gives an output. Here’s a diagrammatic representation of a real neuron.
Which of the following statement(s) correctly represents a real neuron?
Which of the following will be Euclidean Distance between the two data point A(1,3) and B(2,3)?
Which of the following cannot be a variable?
Which one of the following has the highest precedence in the expression?
In a 200 metres race A beats B by 35 m or 7 seconds. A's time over the course is:
Which of the following are real world applications of the SVM?
Which of the given point is true about auto encoder?
What error occurs when you execute the following Python code snippet? apple = mango
Import time str = '21/01/2017' datetime_value = time.strptime(str,date_format)
To convert the above string, what should be written in place of date_format?
You are building a neural network where it gets input from the previous layer as well as from itself.
Which of the following architecture has feedback connections?
What is the volume of 32 metre high cylindrical tank?
1. The area of its base is 154 m2.
2. The diameter of the base is 14 m.
4 mat-weavers can weave 4 mats in 4 days. At the same rate, how many mats would be woven by 8 mat-weavers in 8 days?
Two, trains, one from Howrah to Patna and the other from Patna to Howrah, start simultaneously. After they meet, the trains reach their destinations after 9 hours and 16 hours respectively. The ratio of their speeds is:
Two dice are thrown simultaneously. What is the probability of getting two numbers whose product is even?
In a 300 m race A beats B by 22.5 m or 6 seconds. B's time over the course is:
Two stations A and B are 110 km apart on a straight line. One train starts from A at 7 a.m. and travels towards B at 20 kmph. Another train starts from B at 8 a.m. and travels towards A at a speed of 25 kmph. At what time will they meet?
A, B and C enter into a partnership in the ratio 7/2:4/3:6/5 After 4 months, A increases his share 50%. If the total profit at the end of one year be Rs. 21,600, then B's share in the profit is:
The expression Int(x) implies that the variable x is converted to integer.
Which of the following is incorrect?
Which of the following methods do we use to find the best fit line for data in Linear Regression?
What do you mean by a hard margin?
What are the benefits of mini-batch gradient descent?
A can run 22.5 m while B runs 25 m. In a kilometre race B beats A by:
If a = 0.1039, then the value of 4a2 - 4a + 1 + 3a is:
In a regular week, there are 5 working days and for each day, the working hours are 8. A man gets Rs. 2.40 per hour for regular work and Rs. 3.20 per hours for overtime. If he earns Rs. 432 in 4 weeks, then how many hours does he work for ?
Which of the following distance metric can not be used in k-NN?
Now let’s revise the previous slides. We have learned that:
- A neural network is a (crude) mathematical representation of a brain, which consists of smaller components called neurons.
- Each neuron has an input, a processing function, and an output.
- These neurons are stacked together to form a network, which can be used to approximate any function.
- To get the best possible neural network, we can use techniques like gradient descent to update our neural network model.
Given above is a description of a neural network. When does a neural network model become a deep learning model?
How much did Rohit get as profit at the year-end in the business done by Nitin, Rohit and Kunal?
I. Kunal invested Rs. 8000 for nine months, his profit was times that of Rohit's, and his investment was four times that of Nitin.
II. Nitin and Rohit invested for one year in the proportion 1: 2 respectively.
III. The three together got Rs. 1000 as profit at the year-end.
For an image recognition problem (recognizing a cat in a photo), which architecture of neural network would be better suited to solve the problem?
In a neural network, which of the following techniques is used to deal with overfitting?
What would be the best value for random_state (Seed value ?
Which statement is true about NAG?
Lets say, you are using activation function X in hidden layers of neural network. At a particular neuron for any given input, you get the output as -0.0001 Which of the following activation function could X represent?
Which of the following cross validation techniques is better suited for time series data?
Which of the following is incorrect?
A, B, C rent a pasture. A puts 10 oxen for 7 months, B puts 12 oxen for 5 months and C puts 15 oxen for 3 months for grazing. If the rent of the pasture is Rs. 175, how much must C pay as his share of rent?
Which of the following is not a keyword?
What are the factors to select the depth of neural network?
- Type of neural network (eg. MLP, CNN etc)
- Input data
- Computation power, i.e. Hardware capabilities and software capabilities
- Learning Rate
- The output function to map
Which of the following is invalid?
In training a neural network, you notice that the loss does not decrease in the few starting epochs.
The reasons for this could be:
- The learning rate is low
- The regularization parameter is high
- Stuck at local minima
What according to you are the probable reasons?
What will be the output of the following Python expression?
Given a function that does not return any value, What value is thrown by default when executed in shell.
What is the output of this expression, 3*1**3?
If I am using all features of my dataset and I achieve 100% accuracy on my training set, but ~70% on validation set, what should I look out for?
Which gradient technique is more advantageous when the data is too big to handle in RAM simultaneously?
How to select best hyperparameters in tree based models?
What if we use a learning rate that’s too large?
Which is the correct operator for power(xy)?
What will be the output of print(print())
A is 30% more efficient than B. How much time will they, working together, take to complete a job which A alone could have done in 23 days?
Which of the following is an example of a deterministic algorithm?
The number of neurons in the output layer should match the number of classes (Where the number of classes is greater than 2) in a supervised learning task.
What will be the output of the following Python code snippet if x=1? x<<2
Consider a function which is defined below:
def fun(x): x = 5 return x
Now you define a list which has three numbers in it. g = [10,11,12] Which of the following will be the output of the given print statement: print fun(g), g
Which of the following statement is FALSE about ADAGRAD?
Three numbers which are co-prime to each other are such that the product of the first two is 551 and that of the last two is 1073. The sum of the three numbers is:
Which of the following is an invalid variable?
Three times the first of three consecutive odd integers is 3 more than twice the third. The third integer is:
Which one of the following has the same precedence level?
What percentage of numbers from 1 to 70 have 1 or 9 in the unit's digit?
Which of the following is not an example of a time series model?
What will be the output of the following Python code? 1.>>>str="hello" 2.>>>str[:-3] 3.>>>
If you increase the number of hidden layers in a Multi Layer Perceptron, the classification error of test data always decreases.
Which of the following offsets, do we use in linear regressions least square line fit? Suppose horizontal axis is independent variable and vertical axis is dependent variable.
For a classification task, instead of random weight initializations in a neural network, we set all the weights to zero. Which of the following statements is true?
Which of the following algorithm are not an example of ensemble learning algorithm?
Adding more basis functions in a linear model... (pick the most probably option)
The least number which when divided by 5, 6 , 7 and 8 leaves a remainder 3, but when divided by 9 leaves no remainder, is:
Which of the following sentence is FALSE regarding regression?
The effectiveness of an SVM depends upon:
Suppose you have inputs as x, y, and z with values -2, 5, and -4 respectively. You have a neuron ‘q’ and neuron ‘f’ with functions: q = x + y , f = q * z
What is the gradient of F with respect to x, y, and z?
(HINT: To calculate the gradient, you must find (df/dx), (df/dy) and (df/dz))
A and B can together finish a work 30 days. They worked together for 20 days and then B left. After another 20 days, A finished the remaining work. In how many days A alone can finish the work?
How would you import a decision tree classifier in sklearn?
What do you mean by generalization error in terms of the SVM?
Different learning methods does not include
Batch Normalization is helpful because
Which of the following option is true about k-NN algorithm?
What is a dead unit in a neural network?
K-fold cross-validation is
Type of abc is ? if abc=100,000,10
In random forest or gradient boosting algorithms, features can be of any type. For example, it can be a continuous feature or a categorical feature. Which of the following option is true when you consider these types of features?
The cost price of 20 articles is the same as the selling price of x articles. If the profit is 25%, then the value of x is:
Which of the following will run without errors?
Which of the following is not a complex number?
When pooling layer is added in a convolutional neural network, translation in-variance is preserved.
What are Hyperparameters are set before training?
In which neural net architecture, does weight sharing occur?
What is the output of type(45/3)
What are the steps for using a gradient descent algorithm?
- Calculate the error between the actual value and the predicted value
- Reiterate until you find the best weights of the network
- Pass an input through the network and get values from the output layer
- Initialize random weight and bias
- Go to each neuron that contributes to the error and change its respective values to reduce the error
What is the sequence of the following tasks in a perceptron?
- Initialize weights of perceptron randomly
- Go to the next batch of the dataset
- If the prediction does not match the output, change the weights
- For a sample input, compute an output
“Convolutional Neural Networks can perform various types of transformation (rotations or scaling) in an input”.
Is the statement correct True or False?