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### Describe the Issue
I've run into problems running these notebooks because the information is old and these functions have been deprecated and no longer work. The tutorials on tensorflow.org tha…
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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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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf-gpu 1.13.1
### Custom code
No
### OS platform a…
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This is likely due to Keras version changes. Currently using Keras 3.2.1 with Tensorflow 2.16.1.
So far, I've changed the following in `layers.py`:
`from keras.src.layers.rnn.dropout_rnn_cell_mi…
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### Issue type
Support
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.13.0
### Custom code
Yes
### OS platform and distribution
Linux…
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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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Currently tflearn doesn't use `tensorflow tf.nn.dynamic_rnn` and `tf.nn.bidirectional_dynamic_rnn` for sequences with dynamic lengths.
Although there is a support for dynamic lengths by using `dyna…
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In keras or tensorflow, LSTM or RNN support masking which uses a mask value to skip timesteps. This is commonly used in some state-of-the-art models such as keras-bert. So we may need support masking …
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$ python demo.py
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA libra…
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### This issue is to track progress for Pre-quantized RNN Operators
It'd be great to expand support for recurrent quantized operators, such as the UnidirectionalSequenceLSTM from TensorFlow. Are th…