Add keras mnist demo #238
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Add keras mnist demo #238
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daming-lu requested review from Superjomn, cs2be, jacquesqiao, jetfuel, nickyfantasy and varunarora 
Superjomn reviewed Feb 1, 2018
demo/keras/TUTORIAL_CN.md Outdated
| <img width="70%" src="https://github.com/daming-lu/large_files/blob/master/keras_demo_figs/keras_scalar.png?raw=true" /> | ||
| </p> | ||
| | ||
| 训练过后的第一，第二层卷积权重图的如下： |
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you can use an image component to visualize training image. Both the two images lacks information.
cs2be reviewed Feb 1, 2018
| image1.finish_sampling() | ||
| | ||
| train_step += 1 | ||
| self.losses.append(logs.get('loss')) |
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removed as it is not very related to this demo.
| # create a scalar component called 'scalars/' | ||
| scalar_keras_train_loss = logger.scalar( | ||
| "scalars/scalar_keras_train_loss") | ||
| image0 = logger.image("images/image0", 1) |
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why do we need to prefix with "images/"? Isn't this graph only going to show up in images section?
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'images/' is showing that we can group metrics by namespace, which will be implemented in the future.
| "scalars/scalar_keras_train_loss") | ||
| image0 = logger.image("images/image0", 1) | ||
| image1 = logger.image("images/image1", 1) | ||
| histogram0 = logger.histogram("histogram/histogram0", num_buckets=50) |
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Same here, why do we need "histogram/" prefix?
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