From db76915759ccf37fd848987ac06c8627236f1939 Mon Sep 17 00:00:00 2001 From: shaaqu Date: Mon, 1 Jun 2020 00:21:32 +0200 Subject: [PATCH] new tests --- .idea/workspace.xml | 48 +++++++++++++++++++++++++++++-------- coder/517.png | Bin 0 -> 11463 bytes coder/digits_recognizer.py | 3 +++ coder/ll.png | Bin 14757 -> 0 bytes coder/rocognizer.py | 38 +++++++++++++---------------- coder/test.jpg | Bin 7858 -> 0 bytes coder/test1.jpg | Bin 17633 -> 0 bytes coder/test1.png | Bin 0 -> 6435 bytes coder/test2.png | Bin 0 -> 10140 bytes coder/test3.png | Bin 7448 -> 7110 bytes coder/test5.png | Bin 7825 -> 0 bytes coder/test9.png | Bin 8949 -> 0 bytes coder/testno.png | Bin 1727 -> 0 bytes coder/train_nn.py | 30 ----------------------- 14 files changed, 57 insertions(+), 62 deletions(-) create mode 100644 coder/517.png delete mode 100644 coder/ll.png delete mode 100644 coder/test.jpg delete mode 100644 coder/test1.jpg create mode 100644 coder/test1.png create mode 100644 coder/test2.png delete mode 100644 coder/test5.png delete mode 100644 coder/test9.png delete mode 100644 coder/testno.png delete mode 100644 coder/train_nn.py diff --git a/.idea/workspace.xml b/.idea/workspace.xml index 4c5593f..2755ebf 100644 --- a/.idea/workspace.xml +++ b/.idea/workspace.xml @@ -20,10 +20,20 @@ + + + - + + + + + + + + @@ -82,7 +92,7 @@ - + @@ -398,13 +421,18 @@ - - + - + + + + + @@ -425,10 +453,10 @@ - + - + diff --git a/coder/517.png b/coder/517.png new file mode 100644 index 0000000000000000000000000000000000000000..63f943e2d069ab480fad547d7280dc06f2d9e6b1 GIT binary patch literal 11463 zcmeHt`9G9j{Px&)SrR7u8nQPc*)>^;M1!&K8T*i(DA{*e3Mmp|EEyr$_e9w#S;v-r zne2Ja^m$(2zu@`d`QiJ6m)D&8KIcB`^}ep_ePZtE-KL|4QbQmRI&Ce@`w$5600crb zNl6S!*lR>P!9ODJ`?u90^@c#0dJf6I+uDtF9Gr_XnK3)0(k#1ae>4Be6uv4))`T_y8I(k$=V%85s3MeB&M z&)&#LApAwO9E#dXq*&fPDcLsi5}lyF-)Y#%kGZJdxz#YWwcWQQIdL%Mz1g^B-0Gd^ zlxMwuvh4kL%G*6BFYhr01Y+HFzIqP&Bo$Un1cA`aW6(?DL 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sklearn.metrics import accuracy_score -from PIL import Image - - -# recznie napisane cyfry -digits = datasets.load_digits() - -y = digits.target -x = digits.images.reshape((len(digits.images), -1)) - -x_train = x[:1000000] -y_train = y[:1000000] -x_test = x[1000:] -y_test = y[1000:] - -mlp = MLPClassifier(hidden_layer_sizes=(15,), activation='logistic', alpha=1e-4, - solver='sgd', tol=1e-4, random_state=1, - learning_rate_init=.1, verbose=True) - -mlp.fit(x_train, y_train) - -predictions = mlp.predict(x_test) -print(accuracy_score(y_test, predictions)) -print(x_test[1]) \ No newline at end of file