Covers: theory of LSTM Networks

- Why do we need LSTM Networks?
- How LSTM cells work?
- What is the core idea behind LSTMs?

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Christopher Olah

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Contributors

- Objectives
- In this list you will learn about LSTM networks and apply it to simple time series forecasting problems
- Potential Use Cases
- Time Series Forecasting
- Who is This For ?
- INTERMEDIATEPeople familiar with other ML algorithms and Tensorflow

Click on each of the following **annotated items** to see details.

Resources5/5

ARTICLE 1. Understanding LSTM networks

- Why do we need LSTM Networks?
- How LSTM cells work?
- What is the core idea behind LSTMs?

25 minutes

ARTICLE 2. LSTM cell implementation in PyTorch

- How to implement LSTM equations in PyTorch?

30 minutes

ARTICLE 3. Univariate Time Series Forecasting Application

- How to apply LSTMs for univariate time series forecasting?

30 minutes

ARTICLE 4. Multivariate Time Series Forecasting Application

- How to apply LSTMs for multivariate time series forecasting?

30 minutes

ARTICLE 5. Multi-step ahead forecasting with Application

- How to apply LSTMs for multi-step ahead time series forecasting?

30 minutes

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