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ValueError                                Traceback (most recent call last)
Cell In[13], line 5
      1 from tensorflow.keras.callbacks import EarlyStopping
      4 # Huấn luyện model với callback
----> 5 history = model.fit(X_train, y_train, epochs=30,validation_data=(X_val, y_val))
      7 model.save('my_model.h5')

File /opt/conda/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py:122, in filter_traceback.<locals>.error_handler(*args, **kwargs)
    119     filtered_tb = _process_traceback_frames(e.__traceback__)
    120     # To get the full stack trace, call:
    121     # `keras.config.disable_traceback_filtering()`
--> 122     raise e.with_traceback(filtered_tb) from None
    123 finally:
    124     del filtered_tb

File /opt/conda/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py:122, in filter_traceback.<locals>.error_handler(*args, **kwargs)
    119     filtered_tb = _process_traceback_frames(e.__traceback__)
    120     # To get the full stack trace, call:
    121     # `keras.config.disable_traceback_filtering()`
--> 122     raise e.with_traceback(filtered_tb) from None
    123 finally:
    124     del filtered_tb

ValueError: Exception encountered when calling MaxPooling2D.call().

Negative dimension size caused by subtracting 2 from 1 for '{{node sequential_2_1/max_pooling2d_13_1/MaxPool2d}} = MaxPool[T=DT_FLOAT, data_format="NHWC", explicit_paddings=[], ksize=[1, 2, 2, 1], padding="VALID", strides=[1, 2, 2, 1]](sequential_2_1/batch_normalization_15_1/batchnorm/add_1)' with input shapes: [?,1,32,128].

Arguments received by MaxPooling2D.call():
  • inputs=tf.Tensor(shape=(None, 1, 32, 128), dtype=float32)