char_input = Input(shape=(self.max_len, self.char_feat_size))
char_emb = TimeDistributed(Embedding(input_dim=len(string.printable) + 1, output_dim=30,
         input_length=self.char_feat_size))(char_input)
char_dropout = Dropout(0.5)(char_emb)
char_conv1d = TimeDistributed(Conv1D(kernel_size=3, filters=32, padding='same',activation='tanh', strides=1))(char_dropout)
char_maxpool =TimeDistributed(MaxPooling1D(self.char_feat_size))(char_conv1d)
char_feats = TimeDistributed(Flatten())(char_maxpool)

all_feat = concatenate([word_feats, char_feats])