Deep Learning Quick Reference

Putting it all together

As before, we will show the entire neural network structure here. Note that this structure is for the version of the model that includes GloVe vectors:

def build_model(vocab_size, embedding_dim, sequence_length, embedding_matrix):    sequence_input = Input(shape=(sequence_length,), dtype='int32')    embedding_layer = Embedding(input_dim=vocab_size,                                output_dim=embedding_dim,                                weights=[embedding_matrix],                                input_length=sequence_length,                                trainable=False,                                name="embedding")(sequence_input)    x = Conv1D(128, 5, activation='relu')(embedding_layer)    x = MaxPooling1D(5)(x)    x = Conv1D(128, 5, activation='relu')(x)    x = MaxPooling1D(5)(x)    x = Conv1D(128, 5, activation='relu')(x)    x = GlobalMaxPooling1D()(x)    x = Dense(128, activation='relu' ...