update training method

train_l_v2.py

@@ -0,0 +1,25 @@
+import tensorflow as tf
+
+ds_train, ds_valid = tf.keras.preprocessing.image_dataset_from_directory(
+    '/mnt/tmpfs1/ds-mini-1',
+    labels = 'inferred',
+    label_mode = 'categorical',
+    color_mode = 'rgb',
+    batch_size = 16,
+    image_size = (300, 300),
+    shuffle = False,
+    validation_split = 0.05,
+    subset = 'both',
+    verbose = True
+)
+
+from m import *
+
+ckpt = kc.ModelCheckpoint("model3.model.keras",
+                          monitor = 'val_accuracy',
+                          save_best_only = True)
+
+h = mod.fit(ds_train,
+            epochs = 9,
+            validation_data = ds_valid,
+            callbacks = [ckpt])