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Karpathy, Andrej. 2015. [“The Unreasonable Effectiveness of Recurrent Neural Networks”](http://karpathy.github.io/2015/05/21/rnn-effectiveness/). Blogpost.
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I can't wait for AutoDiff to support control flow. On that topic, I had a quick question: how easy/difficult would it be to implement recursive (not recurrent) neural networks? (https://stackoverflow.…
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LeCun, Yann, Yoshua Bengio & Geoffrey Hinton. 2015. “[Deep Learning](https://www.nature.com/articles/nature14539).” Nature 521: 436-444.
Karpathy, Andrej. 2015. “[The Unreasonable Effectiveness of …
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**### Title: Issue with Stock Price Prediction Model**
**Description:**
I am encountering issues with the stock price prediction model implemented in the Jupyter Notebook. The model aims to pred…
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# vanishing and exploding gradient / sensitivity
- (**must see**) X. Glorot and Y. Bengio. Understanding the difficulty of trainingdeep feedforward neural networks. InAISTATS, 2010.
- (**must see**)…
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we would like to try out the AIfES framework to evaluate the execution of a model built with Keras.
Can BiDirectional network models from Keras be translated into an implementation that runs, for exa…
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Research a few possible models we can use to generate text. Possibilities:
* Markov chains: should be relatively easy to implement on our own but likely wouldn't give great results.
* Recurrent ne…
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Dear Author:
When will release the source code of KDD 23 "Learning Multivariate Hawkes Process via Graph Recurrent Neural Network"?
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### 🚀 The feature, motivation and pitch
I attempted to construct a small-scale natural language processing model using torch.nn.GRU(num_layers=N, bidirectional=True). During training, the loss cons…
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This issue makes part of #20 more concrete.
Recurrent Neural Networks, became an effective Neural Network architecture, that we would like to implement in Leaf as well. The operations could probably …