Deron Eriksson deroneriksson

MNIST LeNet

import org.apache.sysml.api.mlcontext._
val ml = new MLContext(spark)
val clf = ml.nn.examples.Mnist_lenet
val dummy = clf.generate_dummy_data
val dummyVal = clf.generate_dummy_data
val params = clf.train(dummy.X, dummy.Y, dummyVal.X, dummyVal.Y, dummy.C, dummy.Hin, dummy.Win, 1)
val probs = clf.predict(dummy.X, dummy.C, dummy.Hin, dummy.Win, params.W1, params.b1, params.W2, params.b2, params.W3, params.b3, params.W4, params.b4)

Python Stuff

NumPy array - print without cutoffs

from scipy.ndimage import measurements
im = array(...)
labels, num_features = measurements.label(im)
set_printoptions(threshold=nan, linewidth=nan)
print(str(labels[0:100,0:100]))


	Recursively remove .DS_Store files
	find . -name '.DS_Store' -type f -delete