feat: closes #22
This commit is contained in:
@@ -11,8 +11,9 @@ dataset = keras.utils.image_dataset_from_directory(
|
||||
"{{ .DataDir }}",
|
||||
color_mode="rgb",
|
||||
validation_split=0.2,
|
||||
label_mode='int',
|
||||
label_mode='categorical',
|
||||
seed=seed,
|
||||
shuffle=True,
|
||||
subset="training",
|
||||
image_size=({{ .Size }}),
|
||||
batch_size=batch_size)
|
||||
@@ -21,8 +22,9 @@ dataset_validation = keras.utils.image_dataset_from_directory(
|
||||
"{{ .DataDir }}",
|
||||
color_mode="rgb",
|
||||
validation_split=0.2,
|
||||
label_mode='int',
|
||||
label_mode='categorical',
|
||||
seed=seed,
|
||||
shuffle=True,
|
||||
subset="validation",
|
||||
image_size=({{ .Size }}),
|
||||
batch_size=batch_size)
|
||||
@@ -42,11 +44,11 @@ model = keras.Sequential([
|
||||
])
|
||||
|
||||
model.compile(
|
||||
loss=losses.SparseCategoricalCrossentropy(),
|
||||
loss=losses.CategoricalCrossentropy(),
|
||||
optimizer=tf.keras.optimizers.Adam(),
|
||||
metrics=['accuracy'])
|
||||
|
||||
his = model.fit(dataset, validation_data= dataset_validation, epochs=70)
|
||||
his = model.fit(dataset, validation_data= dataset_validation, epochs=50)
|
||||
|
||||
acc = his.history["accuracy"]
|
||||
|
||||
|
||||
Reference in New Issue
Block a user