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## ❓Question
I converted a simple nerual network containing LSTM from Pytorch to mlmodel, and set only the last fully-connected layer to be updatable. Using this updatable model, **I can run predicti…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Poem generator
:red_circle: **Aim** : To generate poem from a dataset of poems
:red_circle: **Datase…
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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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Hi, I have networks consisting of LSTM, Convolutional and Dense layers, and some BatchNormalization and Concatenate layers. There is also a lambda layer which performs a very simple function - picking…
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## Basic RNNs
Ch. 10: Sequence Modeling: Recurrent and Recursive Nets
Goodfellow et al.
https://www.deeplearningbook.org/
> Accessible blog post
Chris Olah
http://colah.github.io/posts/201…
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- 长短时记忆网络 - Long Short Term Memory Network - LSTM
- 通过遗忘和保留记忆的机制减少梯度爆炸（explode）/ 梯度消失（vanish）。
# Reference
- [ ] [浅谈RNN、LSTM + Kreas实现及应用](https://www.cnblogs.com/shenpings1314/p/10428519.html)
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Good understanding of deep learning architectures like Multi-Layer Perceptron, Recurrent Neural Networks (RNNs), Long Short Term Memory models (LSTMs), Gated Recurrent Units (GRUs), and Convolutional …
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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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- [x] Neural networks
- [x] RNN
- [ ] LSTM
- [x] GAN
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### A thorough review of the PyTorch interfacing class
- [ ] NeuralForecast
NeuralForecast interfaces the PyTorch indirectly through its neural network dependency.
* [**Adapter**](https…