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Published 20 hours ago • verified publisher icon jiegzhan
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Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

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How to modify the code to process images with multiple channels?

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This repository processed MNIST, which has only one channel. But I need to process my rgb images. So how to do the modifications? Thank you.

Kongsea avatar Kongsea

Not working

`WARNING:tensorflow:From C:/Users/*/Documents/Projects/image-classification-rnn/train.py:27: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version. Instructions for updating: Please use alternatives such as official/mnist/dataset.py from tensorflow/models. WARNING:tensorflow:From C:\Users\*\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py:260: maybe_download (from...

f1am3d avatar f1am3d

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verified publisher icon jiegzhan

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Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

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