(i) Answer the following. 1. Explain WordNet in short. 2. Define reinforcement learning. 3. List the applications of GAN. (ii) List the applications and types of recurrent neural network.
[4 marks]Differentiate machine leaning and deep learning.
[7 marks](i) Discuss automata in natural language processing. (ii)Explain SARSA algorithm in brief.
[4 marks]Explain following: i. Exploding gradient problem ii. Vanishing gradient problem
[7 marks]Discuss backpropagation with reference to training of neural networks.
[7 marks]Discuss the concept of convolutional neural network in brief.
[7 marks]Explain value function in reinforcement learning.
[7 marks]Briefly discuss generative adversarial Network in detail.
[7 marks]Write short note on recurrent neural network.
[7 marks]Explain long short-term memory network.
[7 marks]Explain deep convolutional GAN in detail.
[7 marks]Discuss the concept of markov decision process.
[7 marks]Write short note on Q-Learning algorithm.
[7 marks]Explain text tokenization using regular expressions in NLP.
[7 marks]Write a code snippet of reading and writing an image in OpenCV using python.
[7 marks]Explain part of speech tagging with appropriate example.
[7 marks]Explain sentimental analysis with example.
[7 marks]