Simple RNN vs Long Short Term Memory

Developers should learn Simple RNNs when working on tasks involving sequential data, such as natural language processing (e meets developers should learn lstm when working on projects that require modeling dependencies in sequential data, such as time-series forecasting (e. Here's our take.

Simple RNN

Nice Pick

Developers should learn Simple RNNs when working on tasks involving sequential data, such as natural language processing (e

Pros

• g
• Related to: long-short-term-memory, gated-recurrent-unit

Cons

• Specific tradeoffs depend on your use case

Long Short Term Memory

Developers should learn LSTM when working on projects that require modeling dependencies in sequential data, such as time-series forecasting (e

Pros

• g
• Related to: recurrent-neural-networks, gated-recurrent-units

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Simple RNN if: You want g and can live with specific tradeoffs depend on your use case.

Use Long Short Term Memory if: You prioritize g over what Simple RNN offers.

The Bottom Line

Simple RNN wins

Developers should learn Simple RNNs when working on tasks involving sequential data, such as natural language processing (e