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Project position at: Indraprastha Institute of Information Technology, Okhla , New Delhi
GATE qualification was essential and higher than bare minimum was preferred
Ma'am took my interview in Hindi but I will write in English so that everyone understands.
Q1) In a binary classifier, what is the structure of output node if you take a neural network? (Just one node)
Q2) Number of trainable parameters in a CNN model with input image size, kernel size and number of kernels as parameters given. (I didn't know the formula so I told her that I cannot recall it as of now)
Q3) What type of functions generate output at the output node of a neural network? (Activation functions)
Q4) Best activation function for a three class classifier? (I thought it was tanh because it can generate negative, positive and zero values, so i thought we could label them as such.)
Q5) What if it's a 5 class classifier? (Sigmoid, Softmax are standard in Transformers that have multiple nodes in outputs.)
Q6) If I ask you to design a decision tree classifier on your own, how will you do that? (I explained about entropy calculation, number of levels in the tree and the voting algorithm at the end, which is standard and can be changed.) I was about to tell her alternatives that we can engineer ourselves but she interrupted and said Thank You take care bye bye.