gpkg.keras.mnist 0.7.0.dev2
MNIST models in Keras (Guild AI)
License: Apache 2.0
Keywords: gpkg

gpkg.keras.mnist
################

*MNIST models in Keras (Guild AI)*

Models
######

acgan
=====

*Auxiliary Classifier Generative Adversarial Network (ACGAN) for MNIST in
Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 100)*

**beta_1**
  *Beta 1 (default is 0.5)*

**epochs**
  *Number of epochs to train (default is 100)*

**lr**
  *Learning rate (default is 0.0002)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_acgan.py
- https://arxiv.org/abs/1511.06434

cnn
===

*Convolutional neural network (CNN) classifier for MNIST in Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 128)*

**epochs**
  *Number of epochs to train (default is 12)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py

denoising-autoencoder
=====================

*Denoising autoencoder for MNIST in Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 128)*

**epochs**
  *Number of epochs to train (default is 30)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_denoising_autoencoder.py

hierarchical-rnn
================

*Hierarchical RNN (HRNN) classifier for MNIST in Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 32)*

**epochs**
  *Number of epochs to train (default is 5)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_hierarchical_rnn.py
- https://arxiv.org/abs/1506.01057
- http://ieeexplore.ieee.org/document/7298714/

irnn
====

*Implementation of 'A Simple Way to Initialize Recurrent Networks of Rectified
Linear Units' with MNIST in Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 32)*

**epochs**
  *Number of epochs to train (default is 200)*

**lr**
  *Learning rate (default is 1.0e-06)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_irnn.py
- http://arxiv.org/pdf/1504.00941v2.pdf

mlp
===

*Multilayer perceptron (MLP) classifier for MNIST in Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 128)*

**epochs**
  *Number of epochs to train (default is 20)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_mlp.py

net2net
=======

*Implementation of 'Net2Net: Accelerating Learning via Knowledge Transfer'
with MNIST in Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 32)*

**epochs**
  *Number of epochs to train (default is 3)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_net2net.py
- http://arxiv.org/abs/1511.05641

siamese
=======

*Siamese MLP classifier for MNIST in Keras*

Operations
^^^^^^^^^^

train
-----
*Train the model*

Flags
`````
**batch_size**
  *Training batch size (default is 128)*

**epochs**
  *Number of epochs to train (default is 20)*

References
^^^^^^^^^^

- https://github.com/keras-team/keras/blob/master/examples/mnist_siamese.py
- http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf

_check
======

Operations
^^^^^^^^^^

acgan
-----

all
---

cnn
---

denoising-autoencoder
---------------------

hierarchical-rnn
----------------

irnn
----

mlp
---

net2net
-------

siamese
-------