gpkg.keras.mnist 0.3.0

MNIST related models in Keras

Models

mnist-acgan

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

Operations

train

Train the ACGAN

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)

learning-rate

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

mnist-cnn

Convolutional neural network (CNN) classifier for MNIST in Keras

Operations

train

Train the CNN

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

mnist-denoising-autoencoder

Denoising autoencoder for MNIST in Keras

Operations

train

Train the autoencoder

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

mnist-hierarchical-rnn

Hierarchical RNN (HRNN) classifier for MNIST in Keras

Operations

train

Train the HRNN

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/

mnist-irnn

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

Operations

train

Train the RNN

Flags

batch-size

Training batch size (default is 32)

epochs

Number of epochs to train (default is 200)

learning-rate

Learning rate (default is 1e-06)

References

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

• http://arxiv.org/pdf/1504.00941v2.pdf

mnist-mlp

Multilayer perceptron (MLP) classifier for MNIST in Keras

Operations

train

Train the MLP

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

mnist-net2net

Implementation of ‘Net2Net: Accelerating Learning via Knowledge Transfer’ with MNIST in Keras

Operations

train

Train the network

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

mnist-siamese

Siamese MLP classifier for MNIST in Keras

Operations

train

Train the MLP

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

mnist-swwae

Stacked what-where autoencoder for MNIST in Keras

Operations

train

Train the MLP

Flags

batch-size

Training batch size (default is 128)

epochs

Number of epochs to train (default is 5)

pool-size

kernel size used for the MaxPooling2D (default is 2)

References

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

• https://arxiv.org/abs/1311.2901v3

• https://arxiv.org/abs/1506.02351v8