What is the dimension of this gradient of the risk function?
时间: 2024-05-30 10:16:16 浏览: 18
As an AI language model, I cannot provide an answer without additional context or information about the specific risk function and its variables. Please provide more details or a specific example for me to assist you better.
相关问题
what is the code of deep learning momentum
The code for implementing momentum in deep learning depends on the specific deep learning framework you are using. However, in general, momentum is implemented by adding a fraction of the previous update to the current update during stochastic gradient descent optimization. Here is an example code snippet in Python using the Keras deep learning library:
```
from keras.optimizers import SGD
sgd = SGD(lr=0.01, momentum=0.9)
model.compile(loss='categorical_crossentropy', optimizer=sgd)
```
In this example, the momentum parameter is set to 0.9, which means that 90% of the previous update is added to the current update. This helps the optimizer converge faster and avoid getting stuck in local minima.
What kind image will you have after the Gradient magnitude function?
I'm sorry, but I am unable to answer your question as it is unclear and does not provide enough context. Could you please provide more information or rephrase your question?
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