SYMBOL INDEX (82 symbols across 10 files)

FILE: ann.py
  class ANN (line 13) | class ANN(object):
    method __init__ (line 14) | def __init__(self, M):
    method fit (line 17) | def fit(self, X, Y, Xvalid, Yvalid, learning_rate=1e-6, reg=1e-6, epoc...
    method forward (line 57) | def forward(self, X):
    method predict (line 62) | def predict(self, X):
    method score (line 66) | def score(self, X, Y):
  function main (line 71) | def main():

FILE: ann_sigmoid.py
  class ANN (line 12) | class ANN(object):
    method __init__ (line 13) | def __init__(self, M):
    method fit (line 16) | def fit(self, X, Y, learning_rate=5e-7, reg=1.0, epochs=10000, show_fi...
    method forward (line 60) | def forward(self, X):
    method predict (line 66) | def predict(self, X):
    method score (line 71) | def score(self, X, Y):
  function main (line 76) | def main():

FILE: ann_tf.py
  class HiddenLayer (line 13) | class HiddenLayer(object):
    method __init__ (line 14) | def __init__(self, M1, M2, an_id):
    method forward (line 23) | def forward(self, X):
  class ANN (line 27) | class ANN(object):
    method __init__ (line 28) | def __init__(self, hidden_layer_sizes):
    method fit (line 31) | def fit(self, X, Y, Xvalid, Yvalid, learning_rate=1e-2, mu=0.99, decay...
    method forward (line 103) | def forward(self, X):
    method predict (line 109) | def predict(self, X):
  function main (line 114) | def main():

FILE: ann_theano.py
  function rmsprop (line 16) | def rmsprop(cost, params, lr, mu, decay, eps):
  class HiddenLayer (line 40) | class HiddenLayer(object):
    method __init__ (line 41) | def __init__(self, M1, M2, an_id):
    method forward (line 50) | def forward(self, X):
  class ANN (line 54) | class ANN(object):
    method __init__ (line 55) | def __init__(self, hidden_layer_sizes):
    method fit (line 58) | def fit(self, X, Y, Xvalid, Yvalid, learning_rate=1e-2, mu=0.99, decay...
    method th_forward (line 130) | def th_forward(self, X):
    method th_predict (line 136) | def th_predict(self, X):
    method predict (line 140) | def predict(self, X):
  function main (line 144) | def main():

FILE: cnn_tf.py
  function init_filter (line 20) | def init_filter(shape, poolsz):
  class ConvPoolLayer (line 25) | class ConvPoolLayer(object):
    method __init__ (line 26) | def __init__(self, mi, mo, fw=5, fh=5, poolsz=(2, 2)):
    method forward (line 37) | def forward(self, X):
  class CNN (line 50) | class CNN(object):
    method __init__ (line 51) | def __init__(self, convpool_layer_sizes, hidden_layer_sizes):
    method fit (line 55) | def fit(self, X, Y, Xvalid, Yvalid, lr=1e-2, mu=0.9, reg=1e-3, decay=0...
    method forward (line 147) | def forward(self, X):
    method predict (line 157) | def predict(self, X):
  function main (line 162) | def main():

FILE: cnn_theano.py
  class ConvPoolLayer (line 19) | class ConvPoolLayer(object):
    method __init__ (line 20) | def __init__(self, mi, mo, fw=5, fh=5, poolsz=(2, 2)):
    method forward (line 31) | def forward(self, X):
  class CNN (line 42) | class CNN(object):
    method __init__ (line 43) | def __init__(self, convpool_layer_sizes, hidden_layer_sizes):
    method fit (line 47) | def fit(self, X, Y, Xvalid, Yvalid, lr=1e-3, mu=0.99, reg=1e-3, decay=...
    method forward (line 141) | def forward(self, X):
    method th_predict (line 150) | def th_predict(self, X):
  function main (line 155) | def main():

FILE: logistic.py
  class LogisticModel (line 13) | class LogisticModel(object):
    method __init__ (line 14) | def __init__(self):
    method fit (line 17) | def fit(self, X, Y, Xvalid, Yvalid, learning_rate=1e-7, reg=0., epochs...
    method forward (line 51) | def forward(self, X):
    method predict (line 54) | def predict(self, X):
    method score (line 58) | def score(self, X, Y):
  function main (line 63) | def main():

FILE: logistic_sigmoid.py
  class LogisticModel (line 12) | class LogisticModel(object):
    method __init__ (line 13) | def __init__(self):
    method fit (line 16) | def fit(self, X, Y, learning_rate=1e-6, reg=0., epochs=120000, show_fi...
    method forward (line 51) | def forward(self, X):
    method predict (line 54) | def predict(self, X):
    method score (line 59) | def score(self, X, Y):
  function main (line 64) | def main():

FILE: show_images.py
  function main (line 13) | def main():

FILE: util.py
  function init_weight_and_bias (line 11) | def init_weight_and_bias(M1, M2):
  function init_filter (line 17) | def init_filter(shape, poolsz):
  function relu (line 22) | def relu(x):
  function sigmoid (line 26) | def sigmoid(A):
  function softmax (line 30) | def softmax(A):
  function sigmoid_cost (line 35) | def sigmoid_cost(T, Y):
  function cost (line 39) | def cost(T, Y):
  function cost2 (line 43) | def cost2(T, Y):
  function error_rate (line 50) | def error_rate(targets, predictions):
  function y2indicator (line 54) | def y2indicator(y):
  function getData (line 63) | def getData(balance_ones=True, Ntest=1000):
  function getImageData (line 94) | def getImageData():
  function getBinaryData (line 103) | def getBinaryData():
  function crossValidation (line 119) | def crossValidation(model, X, Y, K=5):