Allen W. Smith, Ph.D. drallensmith
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| # import os | |
| # os.environ["THEANO_FLAGS"] = "mode=FAST_RUN,device=gpu,floatX=float32" | |
| # import theano | |
| # import the neural net stuff | |
| from keras.models import Sequential | |
| from keras import optimizers | |
| from keras.layers.core import Dense, Dropout, Activation, Flatten | |
| from keras.layers.convolutional import Convolution1D | |
| from keras.layers.normalization import BatchNormalization |
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| # Euclidean distance. | |
| def euc_dist(pt1,pt2): | |
| return math.sqrt((pt2[0]-pt1[0])*(pt2[0]-pt1[0])+(pt2[1]-pt1[1])*(pt2[1]-pt1[1])) | |
| def _c(ca,i,j,P,Q): | |
| if ca[i,j] > -1: | |
| return ca[i,j] | |
| elif i == 0 and j == 0: | |
| ca[i,j] = euc_dist(P[0],Q[0]) | |
| elif i > 0 and j == 0: |