gpkg.keras.mnist 0.6.0.dev4

MNIST models in Keras (Guild AI)

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