How to interpret loss and accuracy for a machine learning model
Then naturally, the main objective in a learning model is to reduce (minimize) the loss function's value with respect to the model's parameters by changing the weight vector values through different …
machine learning - What would be a good loss function to penalize the ...
Jun 6, 2018 · Or maybe I misinterpreted the "x" and "y"? Hey Ethan. You’re right, this description wasn’t complete. The function elliptic_paraboloid_loss is a scaling factor that could be applied to any loss …
machine learning - What is cross-entropy? - Stack Overflow
I know that there are a lot of explanations of what cross-entropy is, but I'm still confused. Is it only a method to describe the loss function? Can we use gradient descent algorithm to find the minimum …
machine learning - What is the difference between loss function and ...
Jan 16, 2018 · The loss function is that parameter one passes to Keras model.compile which is actually optimized while training the model . This loss function is generally minimized by the model.
machine learning - What's a "good" value for the loss function of a DL ...
Jun 28, 2018 · 1 Comment I see. So it seems that the value of loss function is not a good indicator even for a well-established algorithm. I should probably go and use the good but time-consuming labor …
machine learning - Low f1 score and also low loss function score ...
Aug 1, 2023 · Unfortunately after several hours of training (4 epochs), I suffer from a f1 score of only 0.04214842148421484. my final loss score is 0.00354736 I know that the loss function and the f1 …
machine learning - What are forward and backward passes in neural ...
Apr 20, 2016 · A loss function is calculated from the output values. And then "backward pass" refers to process of counting changes in weights (de facto learning), using gradient descent algorithm (or …
machine learning - Custom loss function in Keras to penalize false ...
Oct 8, 2018 · machine-learning keras deep-learning gradient-descent loss-function edited Oct 8, 2018 at 5:49 asked Oct 8, 2018 at 5:33 Swapnil B.
machine learning - How do we analyse a loss vs epochs graph? - Stack ...
Sep 3, 2018 · 5 I'm training a language model and the loss vs epochs is plotted each time of training. I'm attaching two samples from it. Obviously, the second one is showing better performance. But, from …
Loss function for simple Reinforcement Learning algorithm
Dec 4, 2018 · In any machine learning algorithm, the model is trained by calculating the gradient of the loss to identify the slope of highest descent. So you use cross entropy loss as in the video, and when …