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Keras

Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
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I opened jupyter notebook and openend the HTML.ipynb
I clicked on Cells>Run all
I waited for a while and then I got this result:
If this can help I also got this message.
How can I fix this so that I can generate the HTML code?
Thanks in advance
We should sort imports with isort to keep the import section clean
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Feature Description
We want to enable the users to specify the value ranges for any argument in the blocks.
The following code example shows a typical use case.
The users can specify the number of units in a DenseBlock to be either 10 or 20.
Code Example
import au
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Created by François Chollet
Released March 27, 2015
- Organization
- keras-team
- Website
- keras.io
- Wikipedia
- Wikipedia
Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.
It can be clearly seen in chapter 6([CNN Lenet](ht