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In line 136:
self.lstm_cell = tf.contrib.rnn.BasicLSTMCell(rnn_size)
change to
self.lstm_cell = tf.contrib.rnn.BasicLSTMCell(rnn_size, reuse=tf.get_variable_scope().reuse)
In line 137:
self.ls…
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https://arxiv.org/abs/1707.06810
>Text line detection and localization is a crucial step for full page document analysis, but still suffers from heterogeneity of real life documents. In this paper, w…
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#### Issue Description
I am learning and I have a modified example that I have been running for a while (4 months)very successfully and lately hangs / stop responding randomly while converging. Plea…
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## *What* is wrong?
Whatever array I feed into net.run(), it will always only evaluate 20 items. It will fail on less and stay the same whatever the values after the 20th are.
I already found that o…
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I implemented it but I really worry if it really works and it's implemented efficiently, can I have some hint.
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The following script fails with Keras 1.0.4, but worked with 1.0.3:
```
from keras.layers import Dense, Activation
from keras.models import Sequential
model = Sequential([
Dense(32, input_dim=2),…
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# 1. Motivation
Mass access to direct uncensored information and free media coverage of news events has long been an appealing idea. While restriction in freedom of speech may vary from countr…
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Hi All,
I'm fairly new to keras and I was looking to create a CNN that feeds into an LSTM for video classification. Essentially, I have a whole stream of images from a video. Each image is 512x512 …
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I have 50 videos with runtime varying between 1 to 4 minutes recorded at 30fps. I want to build a model similar to figure 3 of [this paper](http://cs231n.stanford.edu/reports2016/216_Report.pdf) ( A L…