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I noticed that the current toolkit only supports Conv2D and Dense models. But in practical application and research, we often use time series data to predict. So I want to know whether this theory is …
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[Visualizing and Understanding Recurrent Networks](https://arxiv.org/abs/1506.02078)
Recurrent Neural Networks (RNNs), and specifically a variant with Long Short-Term Memory (LSTM), are enjoying rene…
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seems very hands on and practical. Check it out:
http://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/
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Hi,
Your LSTM implementation is fantastic.
It is the best clean c++ code for education purpose that I have seen.
I am beginner in neural networks and I was looking for something as this to help…
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What method do you think would be best for noising the LSTM?
End of Noisy Network paper seems to suggest that randomization technique from "Bayesian recurrent neural networks" https://arxiv.org/abs/1…
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Here is the list of tutorials that were removed from the website for not meeting the quality bar. These tutorials should be improved, reviewed and committed.
- [How do I work with MXNet within a Ma…
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Opisać i zadecydować o tym jak będziemy jak wyglądać nasza architektura CNN.
- [ ] różna długość próbek na wejście do CNN - rozwiązania:
a) przycięcie próbek,
b) podział sygnałów próbek na 'pod-p…
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I looked through the Wikipedia Reading example for help, but I couldn't actually get the example to run and the code itself is hard to follow as someone who hasn't used LSTM networks before. I would l…
r3ndd updated
7 years ago
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### Main programming language
Python
### Tutorial title
I have 4 main ones, AI for Stock Sentiment, What is TensorFlow, and how does it work?, LSTM Networks
, and Intro to PyTorch Neural Net…
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I'm trying to implement a PPO agent to play with LunarLander-v2 with tf_agents library like it was in [this tutorial](https://pylessons.com/LunarLander-v2-PPO/) ([_github repo_](https://github.com/pyt…