Month 9: Recurrent Neural Networks (RNNs)

Week 1: Introduction to RNNs

• Recap of Neural Networks and Deep Learning Fundamentals
• Basic RNNs
• Backpropagation Through Time (BPTT)
• Vanishing Gradient Problem

Week 2: Long Short-Term Memory (LSTM) Networks

• Introduction to LSTMs
• Memory Cells
• Gates (Input, Output, Forget)
• Peephole Connections

Week 3: Gated Recurrent Units (GRUs)

• Introduction to GRUs
• Simplified Gate Mechanism
• Architecture of GRUs

Week 4: Applications of RNNs

• Language Modeling
• Speech Recognition
• Music Generation
• Video Analysis and Captioning