What is Shallow Neural Network?
[2 marks]What is Deep Learning? How it is different from Machine learning?
[4 marks]Explain Terms: Same Padding, Valid Padding
[4 marks]Define: Hyper Parameter, CGAN
[4 marks]List components of CNN. Discuss in Brief each of them.
[7 marks]Discuss basic operation on Images using OpenCV.
[7 marks]What are activation functions? Why we need them? How they work?
Explain Q-Learning Algorithm with example.
[7 marks]Using suitable example discuss techniques and methods used in NLP.
[7 marks]What are the challenges and benefits of NLP?
[7 marks]Explain Corpus, Vocabulary, bag of words with example.
[7 marks]Explain SARSA algorithm in brief.
[7 marks]What is RNN? Why RNN? Discuss types of RNN
[7 marks]What is Generative Adversarial Networks (GAN)? How it works?
[7 marks]What is DQNS? How it is connected with deep learning?
[7 marks]Explain how RNN is used for Stock prediction.
[7 marks]i) What is LSTM? ii) What is Pix2Pix GAN?
[3 marks]What is Automata? Explain finite state Automata
[7 marks]i) How do machine talk? ii) What is TFIDF similarity?
[3 marks]