Skip to main content

RNN & LSTM

Sequence modeling with recurrent networks and LSTM/GRU.

Course Duration: 8 hours​

What You'll Learn​

  • Recurrent Neural Networks
  • LSTM and GRU cells
  • Sequence-to-sequence models
  • Time series prediction
  • Text generation
  • Bidirectional RNNs

Prerequisites​

  • Deep Learning Fundamentals
  • TensorFlow or PyTorch

Course Modules​

  1. Introduction to Sequence Modeling
  2. Vanilla RNN
  3. Vanishing Gradient Problem
  4. LSTM Architecture
  5. GRU Architecture
  6. Bidirectional RNNs
  7. Stacked RNNs
  8. Sequence-to-Sequence
  9. Time Series Forecasting
  10. Text Generation
  11. Attention Mechanism Intro
  12. Project: Stock Price Prediction

Applications​

  • Time series forecasting
  • Sentiment analysis
  • Machine translation
  • Speech recognition
  • Music generation