Advance Machine Learning — Winter 2022

Hyper Parameter b) CycleGAN

Shallow Neural Network d) Finite state automata e) SARSA

Define Terms (ANY FOUR) :

Discuss similarity and dissimilarity of Machine Learning and Deep Learning.

Explain how to Read , Resize and Rotate Image using OpenCV?

What is the importance of activation function? Explain in brief Sigmoid and Relu activation functions.

List and explain in brief components of CNN.

Explain with steps how to create model using Sequential API of keras.

i) Differentiate between Positive and Negative Reinforcement.03 ii) Explain application of Max pooling on Feature Map.

What is RNN? Discuss two issues related to RNN. How to solve them?

i) Explain stride and Kernel Size used in CNN. ii) How Reinforcement Learning is different from supervised learning?

What is Reinforcement Learning? Discuss any three key terms related to Reinforcement Learning.

What is Pix2Pix GAN? How Pix2Pix GAN works?

Please comment: Markov Decision Process formalize the reinforcement learning problem.

What is GAN? How it works?

What is NLP? Discuss pros and cons of NLP.

List and explain various methods used for text similarity calculation.

Explain how knowledge is extracted from speech and language.

Explain in brief Sentiment analysis using suitable example.