Unit 4 · Sparse Modeling, Sequences and Deep Learning

# Syllabus

• Sparse Modeling and Estimation, Modeling Sequence/Time-Series Data, Deep Learning and Feature Representation Learning

# Topics

• 4.1Sparse Modeling & Estimation★★
• 4.2Modeling Sequence / Time-Series Data★
• 4.3Neural Network Fundamentals: Perceptron, Activation Functions & Backpropagation★★★
• 4.4Deep Learning: Concepts, ML vs DL & Applications★★★
• 4.5Deep Learning Architectures: CNN, RNN, Autoencoders, DBN☆
• 4.6Feature Representation Learning★