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bob
bob.learn.tensorflow
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Tiago de Freitas Pereira
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.. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
.. Thu 30 Jan 08:46:53 2014 CET
======================
Tensorflow Examples
======================
======================
=====
Bob support for tensorflow
======================
=====
This example package implements simple CNN trainings with tensorflow using the MNIST database.
It is implemented two CNNs:
This package is part of the signal-processing and machine learning toolbox
Bob_. It provides tools to run comparable and reproducible biometric
recognition experiments on publicly available databases.
* Lenet using softmax
* Siamease network (Lenet as a base)
The `User Guide`_ provides installation and usage instructions.
Installation
------------
With tensorflow installed in your environment just run::
Follow our `installation`_ instructions. Then, using the Python interpreter
provided by the distribution, bootstrap and buildout this package::
$ python bootstrap.py
$ python bootstrap
-buildout
.py
$ ./bin/buildout
Documentation
-------------
For the time being has just one script that trains the MNIST using the Lenet architecture using the softmax
cross entropy loss. Run the command bellow to have some help::
.. warning:: We assume that `tensorflow`_ is already installed.
$ ./bin/train_mnist.py --help # Lenet using softmax
$ ./bin/train_mnist_siamese.py --help # Lenet using siamese net
Contact
-------
For questions or reporting issues to this software package, contact our
development `mailing list`_.
It is just the classical stuff.
I haven't added any regularization (L2, L1, dropout, etc )
.. Place your references here:
.. _bob: https://www.idiap.ch/software/bob
.. _installation: https://gitlab.idiap.ch/bob/bob/wikis/Installation
.. _mailing list: https://groups.google.com/forum/?fromgroups#!forum/bob-devel
.. _user guide: http://pythonhosted.org/bob.bio.base
.. _tensorflow: https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html
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