maftuhm / pneumonia-classification-using-cnn Goto Github PK

Hi! I try to run your noutbook, but error occured on model.fit. Maybe you know what happend:

Train on 7484 samples, validate on 832 samples
Epoch 1/20

InvalidArgumentError Traceback (most recent call last)
in
1 history = model.fit(data.train.x, data.train.y,
2 batch_size=batch_size, epochs=epochs, verbose=1,
----> 3 validation_data=(data.test.x, data.test.y), callbacks=[checkpoint, lr_reduce])
4
5 score = model.evaluate(data.test.x, data.test.y, verbose=0)

c:\users\mak\appdata\local\programs\python\python36\lib\site-packages\tensorflow_core\python\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)
725 max_queue_size=max_queue_size,
726 workers=workers,
--> 727 use_multiprocessing=use_multiprocessing)
728
729 def evaluate(self,

c:\users\mak\appdata\local\programs\python\python36\lib\site-packages\tensorflow_core\python\keras\engine\training_arrays.py in fit(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, **kwargs)
673 validation_steps=validation_steps,
674 validation_freq=validation_freq,
--> 675 steps_name='steps_per_epoch')
676
677 def evaluate(self,

c:\users\mak\appdata\local\programs\python\python36\lib\site-packages\tensorflow_core\python\keras\engine\training_arrays.py in model_iteration(model, inputs, targets, sample_weights, batch_size, epochs, verbose, callbacks, val_inputs, val_targets, val_sample_weights, shuffle, initial_epoch, steps_per_epoch, validation_steps, validation_freq, mode, validation_in_fit, prepared_feed_values_from_dataset, steps_name, **kwargs)
392
393 # Get outputs.
--> 394 batch_outs = f(ins_batch)
395 if not isinstance(batch_outs, list):
396 batch_outs = [batch_outs]

c:\users\mak\appdata\local\programs\python\python36\lib\site-packages\tensorflow_core\python\keras\backend.py in call(self, inputs)
3474
3475 fetched = self._callable_fn(*array_vals,
-> 3476 run_metadata=self.run_metadata)
3477 self._call_fetch_callbacks(fetched[-len(self._fetches):])
3478 output_structure = nest.pack_sequence_as(

c:\users\mak\appdata\local\programs\python\python36\lib\site-packages\tensorflow_core\python\client\session.py in call(self, *args, **kwargs)
1470 ret = tf_session.TF_SessionRunCallable(self._session._session,
1471 self._handle, args,
-> 1472 run_metadata_ptr)
1473 if run_metadata:
1474 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Can not squeeze dim[1], expected a dimension of 1, got 3
[[{{node metrics/acc/Squeeze}}]]
[[loss/mul/_321]]
(1) Invalid argument: Can not squeeze dim[1], expected a dimension of 1, got 3
[[{{node metrics/acc/Squeeze}}]]
0 successful operations.
0 derived errors ignored.

Please add requirements.txt