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Caffe code to accompany my Tutorial on Variational Autoencoders

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Thank you the nice tutorial and supporting code. I made a plot (attached) of KL Loss vs iterations of your implementation and that of Keras ([blog](https://blog.keras.io/building-autoencoders-in-keras.html), [code](https://github.com/keras-team/keras/blob/master/examples/variational_autoencoder.py)). Could you please...

Hi thanks for the great tutorial. I have trouble understanding math. What is the reason to pass in `encode3` to `logsd` before the nonlinearity is applied? Why not give `encode3neur`...