diff --git a/RNN_utils.py b/RNN_utils.py
index abba2ca..f555da4 100644
--- a/RNN_utils.py
+++ b/RNN_utils.py
@@ -27,17 +27,17 @@ def load_data(data_dir, seq_length):
 	ix_to_char = {ix:char for ix, char in enumerate(chars)}
 	char_to_ix = {char:ix for ix, char in enumerate(chars)}
 
-	X = np.zeros((len(data)/seq_length, seq_length, VOCAB_SIZE))
-	y = np.zeros((len(data)/seq_length, seq_length, VOCAB_SIZE))
-	for i in range(0, len(data)/seq_length):
-		X_sequence = data[i*seq_length:(i+1)*seq_length]
+	X = np.zeros((len(data) - (seq_length-1), seq_length, VOCAB_SIZE))
+	y = np.zeros((len(data) - (seq_length-1), seq_length, VOCAB_SIZE))
+	for i in range(0, len(data) - (seq_length-1)): 
+		X_sequence = data[i+seq_length:i+1+seq_length]
 		X_sequence_ix = [char_to_ix[value] for value in X_sequence]
 		input_sequence = np.zeros((seq_length, VOCAB_SIZE))
 		for j in range(seq_length):
 			input_sequence[j][X_sequence_ix[j]] = 1.
 			X[i] = input_sequence
 
-		y_sequence = data[i*seq_length+1:(i+1)*seq_length+1]
+		y_sequence = data[i+seq_length+1:(i+1+seq_length+1]
 		y_sequence_ix = [char_to_ix[value] for value in y_sequence]
 		target_sequence = np.zeros((seq_length, VOCAB_SIZE))
 		for j in range(seq_length):