can you tell me what the problem is with this code? The last line of the code means
history = model.fit(partial_x_train, partial_y_train, epochs=20, batch_size=512, validation_data=(x_val, y_val))
there is a problem but I can not understand where the problem comes from
from tensorflow.keras.datasets import imdb
from tensorflow.keras import models
from tensorflow.keras import layers
from keras import optimizers
from keras import losses
from keras import metrics
import matplotlib.pyplot as plt
import numpy as np
(train_data, train_labels), (test_data,test_labels) = imdb.load_data(num_words=10000)
def vectorsize_sequeces(sequences, dimension=10000):
results = np.zeros((len(sequences), dimension))
for i, sequences in enumerate(sequences):
results[i, sequences] = 1.
return results
x_train = vectorsize_sequeces(train_data)
x_test = vectorsize_sequeces(test_data)
y_train = np.asarray(train_labels).astype('float32')
y_test = np.asarray(test_labels).astype('float32')
model = models.Sequential()
model.add(layers.Dense(16,activation='relu',input_shape=(10000,)))
model.add(layers.Dense(16,activation='relu'))
model.add(layers.Dense(1,activation='sigmoid'))
model.compile(optimizer='rmsprop',loss='binary_crossentopy',metrics=['accuracy'])
x_val = x_train[:10000]
partial_x_train = x_train[10000:]
y_val = y_train[:10000]
partial_y_train = y_train[10000:]
history = model.fit(partial_x_train, partial_y_train, epochs=20, batch_size=512, validation_data=(x_val, y_val))
The errors we have
Epoch 1/20
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-23-be6266211430> in <module>()
----> 1 history = model.fit(partial_x_train, partial_y_train, epochs=20, batch_size=512, validation_data=(x_val, y_val))
1 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/func_graph.py in autograph_handler(*args, **kwargs)
1127 except Exception as e: # pylint:disable=broad-except
1128 if hasattr(e, "ag_error_metadata"):
-> 1129 raise e.ag_error_metadata.to_exception(e)
1130 else:
1131 raise
ValueError: in user code:
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 878, in train_function *
return step_function(self, iterator)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 867, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 860, in run_step **
outputs = model.train_step(data)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 810, in train_step
y, y_pred, sample_weight, regularization_losses=self.losses)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 184, in __call__
self.build(y_pred)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 133, in build
self._losses = tf.nest.map_structure(self._get_loss_object, self._losses)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 273, in _get_loss_object
loss = losses_mod.get(loss)
File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 2134, in get
return deserialize(identifier)
File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 2093, in deserialize
printable_module_name='loss function')
File "/usr/local/lib/python3.7/dist-packages/keras/utils/generic_utils.py", line 709, in deserialize_keras_object
f'Unknown {printable_module_name}: {object_name}. Please ensure '
ValueError: Unknown loss function: binary_crossentopy. Please ensure this object is passed to the `custom_objects` argument. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.
CodePudding user response：
Bad spelling mistake on
binary_crossentropy
you wrote:
binary_crossentopy
Use this:
model.compile(optimizer='rmsprop',loss='binary_crossentropy',metrics=['accuracy'])