class Aligner(object):
"""Sentence image aligner"""
def __init__(self, batch_size):
super(Aligner, self).__init__()
self.batch_size = batch_size
self.img_model = Sequential()
self.img_model.add(Dense(4096, 1000, init='uniform'))
self.sent_model = Sequential()
self.sent_model.add(Bidirectional(SimpleRNN, 8856, 1000, return_sequences=True, activation='relu'))
self.combined_model = Unsupervised()
self.combined_model.add(Score([self.img_model, self.sent_model], self.batch_size))
def compile(self, optimizer='sgd', loss=rank_loss, theano_mode=None):
print 'Compiling combined model...'
self.combined_model.compile(optimizer=optimizer, loss=loss, theano_mode=theano_mode)
print 'Done compiling!'
def __init__(self, batch_size):
super(Aligner, self).__init__()
self.batch_size = batch_size
self.img_model = Sequential()
self.img_model.add(Dense(4096, 1000, init='uniform'))
self.sent_model = Sequential()
self.sent_model.add(Bidirectional(SimpleRNN, 8856, 1000, return_sequences=True, activation='relu'))
self.combined_model = Unsupervised()
self.combined_model.add(Score([self.img_model, self.sent_model], self.batch_size))