Important RGPV Question
CS-702 (B) Deep & Reinforcement Learning
VII Sem, CS
UNIT-I
Q.1 What are Recurrent Neural Networks? (RGPV Nov 2023)
Q.2 Explain LSTM (Long Short Term Memory). (RGPV Nov 2023)
UNIT-II
Q.1 Draw and explain McCulloch Pitts neuron Model. (RGPV Nov 2023)
Q.2 Explain sparse and contractive auto encoders. (RGPV Nov 2023)
Q.3 What is PCA (Principle Component Analysis) and RNN? (RGPV Nov 2023)
UNIT-III
Q.1 Draw and explain the architecture of convolutional network. (RGPV Nov 2023)
Q.2 Explain Better Weight Initialization Methods. (RGPV Nov 2023)
Q.3 What is deep learning? Explain its uses and application and history? (RGPV Nov 2023)
UNIT-IV
Q.1 Explain Policy Gradient Algorithm for Full RL. (RGPV Nov 2023)
Q.2 Discuss Bandit Algorithms in details. (RGPV Nov 2023)
Q.3 Explain value iteration, policy iteration and Temporal Difference Learning. (RGPV Nov 2023)
UNIT-V
Q.1 Explain the Q Function and Q Learning Algorithm. (RGPV Nov 2023)
EXTRA QUESTION
Q.1 Difference between Deep and Shallow Network. (RGPV Nov 2023)
Q.2 What is semi – supervised learning? (RGPV Nov 2023)
Q.3 Write short notes: (RGPV Nov 2023)
a) Face Recognition Application
b) Actor-Critic Method
c) Group Normalization
— Best of Luck for Exam —
