Advance Machine Learning — Winter 2024

Answer following questions (1) Define : Deep Learning (2) What is shallow Neural Network? (3) Write full form of CNN and define it. (4) What is the role of hyper parameter in deep learning? (5) Define : Generative Adversarial Network. (6) What is Q-learning? (7) What is Vanishing Gradient problem?

Differentiate Machine Learning Vs Deep Learning. Explain in brief about the applications of Deep Learning.

What is Neural Network? Explain neural network architecture with key concepts of Deep Learning.

Explain the following image operations using OpenCV. (1) Read (2) Save (3) Resize (4) Rotate

What is backpropagation in neural network? Explain backpropagation in CNN.

What is recurrent Neural network? Explain it in brief with its applications.

Explain the working process of GAN. Write steps of training GAN,

Explain long short term memory network.

Explain Vanishing Gradient Problem and Exploding Gradient Problem.

What is reinforcement learning? Explain it with its key terms.

Explain Terms : Tenser flow, Theano, PlaidML and CNTK.

Explain DQNS and DDPG.

Explain applications of GAN.

What is NLP? Explain the process of knowledge extraction from speech, text and language.

What is regular expression? Explain Automata. How will you find similarity in given texts? Explain it with example.

What is sentiment analysis? Explain categorization using suitable example.

What is sequential decision making? Explain markov decision process.