Als ich versucht habe, diesen Code auszuführen:-< /p>
import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
dataset = pd.read_csv ("/content/dataset/cancer.csv")
x = dataset.drop(columns = ["diagnosis(1=m, 0=b)"])
y = dataset["diagnosis(1=m, 0=b)"]
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2)
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Dense(256, input_shape = x_train.shape, activation="sigmoid"))
model.add(tf.keras.layers.Dense(256, activation="sigmoid"))
model.add(tf.keras.layers.Dense(1, activation="sigmoid"))
model.compile(optimizer="adam", loss="binary_crossentropy", metrics=["accuracy"])
model.fit(x_train, y_train, epochs=1000)
< /code>
Auf Epoche 1 habe ich den Fehler erhalten:-< /p>
Epoch 1/1000
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
in ()
----> 1 model.fit(x_train, y_train, epochs=1000)
1 frames
/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py in tf__train_function(iterator)
13 try:
14 do_return = True
---> 15 retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
16 except:
17 do_return = False
ValueError: in user code:
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1377, in train_function *
return step_function(self, iterator)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1360, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1349, in run_step **
outputs = model.train_step(data)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1126, in train_step
y_pred = self(x, training=True)
File "/usr/local/lib/python3.10/dist-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/input_spec.py", line 298, in assert_input_compatibility
raise ValueError(
ValueError: Input 0 of layer "sequential_10" is incompatible with the layer: expected shape=(None, 455, 30), found shape=(None, 30)
< /code>
Können Sie mir helfen zu verstehen, was los ist? Danke für die Hilfe.
Warum gibt dieser Code einen Fehler über die Form des neuronalen Netzwerks zurück? ⇐ Python
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