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The [documentation for the base `RNN` layer](https://keras.io/api/layers/recurrent_layers/rnn/) contains the following explanation, which is outdated:
> Note on using statefulness in RNNs:
>
> Y…
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Problem Description
The goal is to develop a robust model for classifying various eye diseases using Recurrent Neural Networks (RNN). Early and accurate detection of eye diseases is crucial for eff…
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Description
This feature aims to implement a Recurrent Neural Network (RNN) model to classify eye diseases from medical images. The model will be trained to identify various eye conditions such as …
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## Description:
Sudoku is a popular logic-based number puzzle. This project demonstrates how to use Convolutional Neural Networks (CNN) with TensorFlow to solve Sudoku puzzles by recognizing and fill…
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Hi,
Thank you for this great work. Do you have any plans to make it possible to explain RNN/LSTM models? Right now I have to make the explanation with LIME and then I plot it with force_plot.
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Hi,when i use aimet to quantize my rnn model,some tracing error happens.
```
import torch
import torch.nn as nn
from aimet_torch.model_preparer import prepare_model
rnn=nn.RNN(10,20,1)
rnn=prepa…
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Hi @yzhangcs
Congrats on your Gated Slot Attention Paper ! this work is really interesting.
I want to be able to reproduce your experiments on “[finetuning pretrained Transformers to RNNs](htt…
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Hi!
Just wondering how the RNN could be mixed into the `ODEProblem`
In flux times, it seems a Recur layer need to be created. However there is already a `Recurrence` in Lux.jl
[Training of UDEs w…
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Once we have an implementation of the Layer Class https://github.com/arrayfire/arrayfire_ml/issues/17 , the Optimizer class and the DataSet class we can go about creating RNN flavors. There are 3 mode…
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i tried to implement a RNN MODEL to classify Mnist Dataset but i get an accuracy around 40-50% even with running it for more than 20 epochs, while in pytorch, i'll get an accuracy upto 90% after just …