RNN

Lesson in the Data Analyst Roadmap · Stage 14: Deep Learning (Optional)

Last updated 14 September 2026

What is RNN?

Recurrent Neural Networks (RNNs) are a type of neural network designed for sequential data, where the output at each step depends on previous steps. They maintain a hidden state that carries information from earlier in the sequence. RNNs and their variants (LSTM, GRU) are used for time series forecasting, text generation, and language modeling.

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Free resources to learn RNN

ArticleWhat is a Recurrent Neural Network (RNN)?
ArticleRecurrent Neural Networks Cheat-sheet

RNN: common questions

Can I learn RNN in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain RNN in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this RNN tutorial for beginners?

It is lesson 89 of 100 in the free Data Analyst roadmap, in stage 14, Deep Learning (Optional). If you are new to Data Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.