diff --git a/LICENSE.md b/LICENSE.md
new file mode 100644
index 0000000..7cdd5a8
--- /dev/null
+++ b/LICENSE.md
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Michał Dobrzański
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/README.md b/README.md
index aa618b0..fca1612 100644
--- a/README.md
+++ b/README.md
@@ -10,4 +10,7 @@ The testing file (**test.py**) contains all three networks (network.py, network2
 
 In test.py there are examples of networks configurations with proper comments. I did that to relate with particular chapters from the book.
 
+### License
+Disributed under MIT License. [Link](LICENSE.md).
+
 
diff --git a/network.py b/network.py
index ad9f26e..78629cf 100644
--- a/network.py
+++ b/network.py
@@ -70,7 +70,7 @@ def SGD(self, training_data, epochs, mini_batch_size, eta,
             for mini_batch in mini_batches:
                 self.update_mini_batch(mini_batch, eta)
             if test_data:
-                print("Epoch {} : {} / {}".format(j,self.evaluate(test_data),n_test));
+                print("Epoch {} : {} / {}".format(j,self.evaluate(test_data),n_test))
             else:
                 print("Epoch {} complete".format(j))