# nicklashansen/rnn\_lstm\_from\_scratch

<https://repo.masters-masters.com/en/repos/nicklashansen/rnn_lstm_from_scratch>

[Home](https://repo.masters-masters.com/en) › [nicklashansen](https://repo.masters-masters.com/en/owners/nicklashansen) › [rnn\_lstm\_from\_scratch](https://repo.masters-masters.com/en/repos/nicklashansen/rnn_lstm_from_scratch)

nicklashansen/rnn\_lstm\_from\_scratch has 284 stars on GitHub. Its RepoMasters card: Alpha tier. How to build RNNs and LSTMs from scratch with NumPy.

| Field | Value |
| --- | --- |
| Owner | [nicklashansen](https://repo.masters-masters.com/en/owners/nicklashansen) |
| Stars | 284 |
| Forks | 70 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | GPL-3.0 |
| Created | 2019 |
| Topics | recurrent-neural-networks, lstm-neural-networks, deep-learning, numpy, pytorch, natural-language-processing |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [nicklashansen/rnn\_lstm\_from\_scratch](https://github.com/nicklashansen/rnn_lstm_from_scratch) |

## Repository

How to build RNNs and LSTMs from scratch with NumPy.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.