[英]Why does Keras run only 5 epochs out of 25?
我已經卸載了 Keras 和 Tensorflow 並使用它們安裝了它們
pip install tensorflow == 2.6
pip install keras == 2.6
但即使在之后,我仍然有一個奇怪的事情,它只有 5 個 epoch 正在運行:
我無法追蹤這種情況何時發生,但它曾經運行過所有的時代。 這是我的代碼:
train_datagen = ImageDataGenerator(rescale = 1.0/255.)
test_datagen = ImageDataGenerator(rescale = 1.0/255.)
train_generator = tf.keras.utils.image_dataset_from_directory(base_dir,
batch_size=20,
label_mode='categorical',
validation_split = 0.2,
subset='training',
seed=123,
image_size=(200, 200))
validation_generator = tf.keras.utils.image_dataset_from_directory(base_dir,
batch_size=20,
label_mode='categorical',
validation_split = 0.2,
subset='validation',
seed=123,
image_size=(200, 200))
model = Sequential([
Conv2D(32, (3, 3), activation='relu', input_shape=(200, 200, 3)),
MaxPooling2D((2, 2)),
Conv2D(64, (3, 3), activation='relu'),
MaxPooling2D((2, 2)),
Conv2D(128, (3, 3), activation='relu'),
tf.keras.layers.Dropout(0.2),
Flatten(),
Dense(256, activation='relu'),
Dense(4, activation='softmax')
])
model.compile(optimizer='Adam',
loss='categorical_crossentropy',
metrics=['accuracy']
)
history = model.fit(
train_generator,
steps_per_epoch = 25,
epochs = 25,
validation_data = validation_generator,
validation_steps = 25,
verbose = 1
)
plot_loss(history)
我也用
import logging
logging.getLogger("tensorflow").setLevel(logging.ERROR)
請指導我。
嘗試將steps_per_epoch = 25
和steps_per_epoch = 25
替換為batch_size = 25
。
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