Keras is a framework for machine learning, specically deep learning. This directory contains a number of examples of using Keras for various machine learning tasks.
underfitting_overfitting.ipynb: jupyter notebook illustrating over and underfitting for least square fits.activation_functions.ipynb: jupyter notebook illustrating some activation functions for deep learning applications.mnist_data_exploration.ipynb: jupyter notebook exploring the MNIST data set.mnist_mlp.ipynb: jupyter notebook implementing two multilayer perceptron models to learn the MNIST data set.convolution.ipynb: Jupyter notebook illustrating convolution for feature detection in the MNIST data set.mnist_cnn.ipynb: jupyter notebook implementing two convolutional neural network models to learn the MNIST data set.mnist_ensemble.ipynb: jupyter notebook that implements a somewhat silly ensemble of three MLP networks.mnist_cnn.pbs: example PBS script to exectute themnist_cnn.ipynbnotebook in batch as a job.Flatland: machine learning adventures in Flatland.
Excellent tutorial.