Python last Examples

Example #1

File: SequenceClassification.py Project: soniaang/CNTK

def LSTM_sequence_classifer_net(feature, num_output_classes, embedding_dim, LSTM_dim, cell_dim):
    embedding_function = embedding(feature, embedding_dim)
    LSTM_function = LSTMP_component_with_self_stabilization(
        embedding_function.output, LSTM_dim, cell_dim)[0]
    thought_vector = sequence.last(LSTM_function)

    return linear_layer(thought_vector, num_output_classes)

Example #2

File: SequenceClassification.py Project: BorisJineman/CNTK

def LSTM_sequence_classifer_net(input, num_output_classes, embedding_dim, LSTM_dim, cell_dim):
    embedding_function = embedding(input, embedding_dim)
    LSTM_function = LSTMP_component_with_self_stabilization(
        embedding_function.output, LSTM_dim, cell_dim)[0]
    thought_vector = sequence.last(LSTM_function)

    return linear_layer(thought_vector, num_output_classes)

Example #3

File: simplernn.py Project: w1y2l32009/CNTK

def LSTM_sequence_classifer_net(input, num_output_classes, embedding_dim,
                                LSTM_dim, cell_dim):
    embedded_inputs = embedding(input, embedding_dim)
    lstm_outputs = simple_lstm(embedded_inputs, LSTM_dim, cell_dim)[0]
    thought_vector = sequence.last(lstm_outputs)
    return linear_layer(thought_vector, num_output_classes)

Example #4

File: simplernn.py Project: FDecaYed/CNTK

def LSTM_sequence_classifer_net(input, num_output_classes, embedding_dim,
                                LSTM_dim, cell_dim):
    embedded_inputs = embedding(input, embedding_dim)
    lstm_outputs = simple_lstm(embedded_inputs, LSTM_dim, cell_dim)[0]
    thought_vector = sequence.last(lstm_outputs)
    return linear_layer(thought_vector, num_output_classes)