Package: gpkg.keras.mnist
gpkg.keras.mnist################*MNIST models in Keras (Guild AI)*Models######acgan=====*Auxiliary Classifier Generative Adversarial Network (ACGAN) for MNIST inKeras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (100)***beta-1***Beta 1 (0.5)***epochs***Number of epochs to train (100)***learning-rate***Learning rate (0.0002)*References^^^^^^^^^^- https://github.com/keras-team/keras/blob/master/examples/mnist_acgan.py- https://arxiv.org/abs/1511.06434cnn===*Convolutional neural network (CNN) classifier for MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (128)***epochs***Number of epochs to train (12)*References^^^^^^^^^^- https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.pydenoising-autoencoder=====================*Denoising autoencoder for MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (128)***epochs***Number of epochs to train (30)*References^^^^^^^^^^- https://github.com/keras-team/keras/blob/master/examples/mnist_denoising_autoencoder.pyhierarchical-rnn================*Hierarchical RNN (HRNN) classifier for MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (32)***epochs***Number of epochs to train (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 RectifiedLinear Units' with MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (32)***epochs***Number of epochs to train (200)***learning-rate***Learning rate (1e-06)*References^^^^^^^^^^- https://github.com/keras-team/keras/blob/master/examples/mnist_irnn.py- http://arxiv.org/pdf/1504.00941v2.pdfmlp===*Multilayer perceptron (MLP) classifier for MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (128)***epochs***Number of epochs to train (20)*References^^^^^^^^^^- https://github.com/keras-team/keras/blob/master/examples/mnist_mlp.pynet2net=======*Implementation of 'Net2Net: Accelerating Learning via Knowledge Transfer'with MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (32)***epochs***Number of epochs to train (3)*References^^^^^^^^^^- https://github.com/keras-team/keras/blob/master/examples/mnist_net2net.py- http://arxiv.org/abs/1511.05641siamese=======*Siamese MLP classifier for MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (128)***epochs***Number of epochs to train (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.pdfswwae=====*Stacked what-where autoencoder for MNIST in Keras*Operations^^^^^^^^^^train-----*Train the model*Flags`````**batch-size***Training batch size (128)***epochs***Number of epochs to train (5)***pool-size***kernel size used for the MaxPooling2D (2)Choices:23*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