CODEWITHSUNDEEP
pythontensorflowhyperparameters
Chinmay Singh
Chinmay Singh

Reputation: 41

Is there any function in tensorflow for getting all the hyperparameters or options from the model?

In the sklearn library after declaring the model-

model1 = sklearn.svm.SVC()
model2 = sklearn.kernel_ridge.KernelRidge()

We can directly get available hyperparameters by using model.get_params(), is there anything like this in tensorflow? Additionally if we even load the pre-built model which already have these hyperparameters set, can we get them?

Upvotes: 0

Views: 209

Answers (1)

Baptiste ZLOCH
Baptiste ZLOCH

Reputation: 72

You can do it in Keras using :

model.get_config()

You can also see the model architecture using :

model.summary()

Upvotes: 1

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