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Showing posts with the label Loss Function

Adding A Constant To Loss Function In Tensorflow

I have asked a similar question but no response. So I try it again, I am reading a paper which sugg… Read more Adding A Constant To Loss Function In Tensorflow

Using Sgd Without Using Sklearn (logloss Increasing With Every Epoch)

def train(X_train,y_train,X_test,y_test,epochs,alpha,eta0): w,b = initialize_weights(X_train[0]… Read more Using Sgd Without Using Sklearn (logloss Increasing With Every Epoch)

How To Add Example Based Parameter To Custom Keras Loss Function?

I want to have custom loss function in keras, which has a parameter that is different for each trai… Read more How To Add Example Based Parameter To Custom Keras Loss Function?

Keras Custom Loss Function Not Printing Value Of Tensor

I am writing just a simple loss function in which I have to convert the tensor to numpy array(it… Read more Keras Custom Loss Function Not Printing Value Of Tensor

Which Loss Function To Use In Keras Sequential Model

I am using a Keras sequential model, a prediction output is of the shape (1, 5) (5 features). I hav… Read more Which Loss Function To Use In Keras Sequential Model