shamangary / Keras Mnist Center Loss With Visualization
An implementation for mnist center loss training and visualization
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Keras-MNIST-center-loss-with-visualization
Update (2018/03/02)
- Code explanation in Chinese. http://shamangary.logdown.com/posts/6424093
Update (2017/11/10)
- Remove the one-hot inputs for Embedding layer and replace it by single value labels.
- There are two kinds labels: single value for center loss, and one-hot vector labels for softmax term.
- Every classes are visually seperated now :)
How to run?
- Step.1 Change the flag of center loss inside TYY_mnist.py
isCenterloss = True
#isCenterloss = False
- Step.2 Run the file
KERAS_BACKEND=tensorflow python TYY_mnist.py
Dependencies
- Anaconda
- Keras
- Tensorflow
- Others: (install with anaconda)
conda install -c anaconda scikit-learn
conda install -c conda-forge matplotlib
References:
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