Check out the
topics page for highly curated tutorials and libraries on recurrent-neural-networks.

2019-06-02 · An intuitive explanation of the Transformer by motivating it through the lens of CNNs, RNNs, etc.

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2020-04-23 · Understand how to use Recurrent Layers like RNN, GRU and LSTM in Keras with diagrams.

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2020-05-01 · On-line interactive book introducing the history, theory, and math of Neural Network Models with Python, from a Cog Science perspective.

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2020-10-09 · Diving deep into sequence models.

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2020-09-09 · Tricks of the trade for training Long Short-Term Memory networks.

recurrent-neural-networks lstm tips article

2020-06-12 · How recurrent units and self-attention are related to each other.

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2020-03-20 · Explains "Neural Ordinary Differential Equations", a very interesting idea came out in NIPS 2018.

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This repository provides tutorial code in C++ to learn PyTorch by building CNNs, RNNs, etc. Tutorials are divided into three sections based on complexity.

pytorch c++ torch torchscript

In this post, we are gonna look into how attention was invented, and various attention mechanisms and models, such as transformer and SNAIL.

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What are the advantages of RNN’s over transformers? When to use GRU’s over LSTM? What are the equations of GRU really mean? How to build a GRU cell in ...

recurrent-neural-networks deep-learning machine-learning sequence-to-sequence

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