after literally hours of pain, keras learns mnist

nn.py

@@ -0,0 +1,16 @@
+import os
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
+
+import tensorflow as tf
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)  # STFU!
+from mynet import load_mnist
+
+
+def create_mnist_network():
+    model = tf.keras.models.Sequential([
+        tf.keras.layers.Dense(30, input_shape=(784,), activation='relu'),
+        tf.keras.layers.Dense(10, activation='softmax')
+    ])
+    model.compile(loss='categorical_crossentropy', optimizer='sgd',
+                  metrics=['accuracy'])
+    return model