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Re: Integrating Pytave and Nnet
From: |
enricobertino |
Subject: |
Re: Integrating Pytave and Nnet |
Date: |
Wed, 19 Apr 2017 11:31:53 -0700 (PDT) |
I wrote an example of image classification calling tensorflow via pytave.
Everything works in the right way on my machine, I think it is a good start
:) I cloned the existing nnet repo and I added the m files in tests/script
[1]. I implemented the standard MNIST example, using both automatic download
of the dataset (mnistTensorflow.m) and a manual import of a .mat dataset
from local directory (mnist_2k2k.m). I wrote the latter as a script and the
former as a function only with the goal of getting familiar with tests and
the make check. They call a python class in /tests/src which uses Tensorflow
functions.
Regarding pytave, I had some problems with the conversion of the pyobects.
In particular I noticed that there is not a conversion of float32 and
strings from python to octave. Is this correct or am I doing something
wrong?
Cheers,
Enrico
[1] https://bitbucket.org/cittiberto/nnet-enrico
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- Re: Integrating Pytave and Nnet, enricobertino, 2017/04/03
- Re: Integrating Pytave and Nnet, Mike Miller, 2017/04/03
- Re: Integrating Pytave and Nnet, enricobertino, 2017/04/06
- Re: Integrating Pytave and Nnet, enricobertino, 2017/04/16
- Re: Integrating Pytave and Nnet, Francesco Faccio, 2017/04/26
- Re: Integrating Pytave and Nnet, Mike Miller, 2017/04/27
- Re: Integrating Pytave and Nnet, Mike Miller, 2017/04/28