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This bug has been moved from Neataptic.
https://github.com/wagenaartje/neataptic/issues/25
> Currently I'm rewriting all the built-in networks code to construct networks form layers instead of gr…
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Very good project!
I'm really interested in your DDPG algorithm with LSTM. Is it based on the paper :
> Nicolas Heess & Jonathan Hunt et al,Memory-based control with recurrent neural networks?
…
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Problem Description:
Developing a new machine learning model for improving the accuracy and performance of stock price predictions. The challenge lies in modeling the highly volatile nature of stoc…
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### Feature
I kindly request the addition of support for the Kronecker-Factored Approximate Curvature (KFAC) optimization technique in LSTM and GRU layers within the existing KFAC Optimizer. Curren…
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See "Grid Long Short-Term Memory" by Kalchbrenner, Danihelka and Graves: http://arxiv.org/abs/1507.01526
This seems like a very exciting extension of RNNs / LSTM networks!
There currently are two …
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# 1 网络简介 - IT教程网
近年来，深度学习网络取得了显著的进步，尤其是在处理图像、文本和时间序列数据方面。各种网络结构被提出并应用于不同类型的问题，推动了诸多领域的创新发展。本篇教程将聚焦于一些主流的深度学习网络结构，包括LSTM、BERT、ResNet等，旨在提供这些网络的基本
[https://zglg.work/ai-30-neural-networks/1/](https://…
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### 🚀 The feature, motivation and pitch
today i'm working with time series; in this area Time-Gated Lstm ( an implementation of the paper 'Nonuniformly Sampled Data Processing Using LSTM Networks' ) …
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### ❓ Question
I want to modify the network structure for RecurrentPPO, but when I run the original network, I get the following error
error:
self.features_extractor = features_extractor_class(se…
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Cudnn 5 now supports GRU and LSTM cells natively, with speedup's of up to 6 times compared to a Cublass implementation of GRU's and LSTMs. IT would be great if Cudarray could support this.
https://de…
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I have referred to some people's work on adding RNNs to reinforcement learning algorithms, but strangely, almost everyone's code implementation is different. So I would like to ask how you integrate L…