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📜  AttributeError:模块“tensorflow._api.v2.train”没有属性“GradientDescentOptimizer”站点:stackoverflow.com - Python (1)

📅  最后修改于: 2023-12-03 14:39:23.651000             🧑  作者: Mango

AttributeError: module 'tensorflow._api.v2.train' has no attribute 'GradientDescentOptimizer'

This error occurs when trying to access the attribute GradientDescentOptimizer from the module tensorflow._api.v2.train, which does not exist.

In TensorFlow 2.x, the training API has been revamped. The GradientDescentOptimizer class has been moved to the tensorflow.keras.optimizers module. To fix this error, you need to update your code to use the new optimizer.

Here's an example of how to replace GradientDescentOptimizer with SGD (Stochastic Gradient Descent) optimizer from the tensorflow.keras.optimizers module:

import tensorflow as tf

# Define your model
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Dense(10, input_shape=(10,)))

# Compile your model with the optimizer
optimizer = tf.keras.optimizers.SGD(learning_rate=0.01)
model.compile(optimizer=optimizer, loss='mse')

# Train your model
model.fit(x_train, y_train, epochs=10)

In the above code, we import tf.keras.optimizers module and create an instance of SGD optimizer with a specified learning rate (0.01 in this case). We then compile the model using this optimizer and train the model accordingly.

Make sure to adapt the code to your specific use case, as this is just an example.