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Showing posts with the label Loss Function

Hinge Loss Function Gradient W.r.t. Input Prediction

For an assignment I have to implement both the Hinge loss and its partial derivative calculation fu… Read more Hinge Loss Function Gradient W.r.t. Input Prediction

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

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)

Custom Loss Function Implementation Issue In Keras

I am implementing a custom loss function in keras. The output of the model is 10 dimensional softma… Read more Custom Loss Function Implementation Issue In Keras

How To Pass The Input Tensor Of A Model To A Loss Function?

My goal is to create a custom loss function that calculates the loss based on y_true, y_pred and th… Read more How To Pass The Input Tensor Of A Model To A 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