Configs

    dim = word vector dimensions
    word2vec = path to file containing word embeddings
    mode = static/nonstatic/multichannel
    max_l = Max length of a sentence in data
    filter_h = max convolution filter size
    filter_hs = Convolution filter sizes
    conv_features = Number of features extracted from Conv layers
    mlp_hidden_units = Number of hidden units in each hidden layer, e.g. [100] means one hidden layer with 100 units
    dropout_rate = dropout rate
    shuffle_batch = Shuffle input for each batch
    n_epochs = Number of epochs
    batch_size = Batch Size