CY-802 (B) Deep & Reinforcement Learning Important Questions
6 sets of important questions for Deep & Reinforcement Learning.
Important Questions for CY-802 (B)
- Unit 1 · Important questions History of Deep Learning History of Deep Learning · McCulloch-Pitts Neuron · Thresholding Logic · Activation functions · Gradient Descent ($\mathrm{GD}$) · Momentum-based GD
- Unit 2 · Important questions Autoencoders and relation to PCA Autoencoders and relation to PCA · Regularization in autoencoders · Denoising autoencoders · Sparse autoencoders · Contractive autoencoders · Bias-Variance Tradeoff
- Unit 3 · Important questions Greedy Layer-wise Pre-training Greedy layer-wise pre-training · Better activation functions · Better weight initialization methods · Learning vectorial representations of words · Convolutional Neural Networks · LeNet
- Unit 4 · Important questions Introduction to Reinforcement Learning (RL) Introduction to reinforcement learning (RL) · Bandit algorithms – UCB, PAC, Median Elimination · Policy Gradient · Full RL & MDPs · Bellman Optimality · Dynamic Programming – Value iteration
- Unit 5 · Important questions Advanced Q-Learning and RL Architectures Fitted Q · Deep Q-Learning · Advanced Q-learning algorithms · Learning policies by imitating optimal controllers · DQN & Policy Gradient · Policy Gradient algorithms for full RL
- CY-802 (B) Deep & Reinforcement Learning - Important Questions (All Units)
More for CY-802 (B)
- Syllabus Official RGPV syllabus Free
- Notes 5 documents Free
- Previous Year Papers None for CY-802 (B) yet
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