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A function used to quantify the difference between observed data and predicted values according to a model. Minimization of loss functions is a way to estimate the parameters of the model.

1 vote

Define a custom distance between classes in Keras

It is very easy to implement a custom loss function in Keras, but that may make your model less interpretable, and may make it more difficult to optimize. You can create a function that takes in the t …
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  • 336
1 vote

How to implement linear regression

Well there are many different ways you can improve your code. For now, You can do this to improve the model: Try reducing the learning rate to a value like (0.00001 or 0.0001). Your implementation us …
Vic's user avatar
  • 336