MNIST related models in Keras
Project description
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
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
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
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
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
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
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
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
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
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