Deep Learning Workshop

@@ -96,7 +96,11 @@ if __name__ == "__main__":
     # One-hot-encoding of sequences
     for sequence, label in zip(sequences, labels):
         if len(sequence) < max_length:
+            print("sequence: {}".format(sequence))
+            print("Le falta: {}".format(max_length - len(sequence)))
             sequence_adjust = sequence.ljust(max_length - len(sequence), 'X')
+            print("sequence_adjust: {}".format(sequence_adjust))
+
         print("Length sequence_adjust: {}".format(len(sequence_adjust)))
         integer_encoded = integer_encoder.fit_transform(list(sequence_adjust))
         integer_encoded = np.array(integer_encoded).reshape(-1, 1)