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 …
What is a loss function in simple words? - Stack Overflow
Aug 25, 2024 · Can anyone please explain in simple words and possibly with some examples what is a loss function in the field of machine learning/neural networks? This came out while I …
machine learning - Common causes of nans during training of …
Faulty Loss function Reason: Sometimes the computations of the loss in the loss layers causes nan s to appear. For example, Feeding InfogainLoss layer with non-normalized values, using …
Why does my training loss have regular spikes? - Stack Overflow
Dec 15, 2017 · Why does this matter? The model I am training, SSD, uses a rather complicated multi-task loss function that does its own averaging (not by the batch size, but by the number …
machine learning - What would be a good loss function to …
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 …
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 …
How to correct unstable loss and accuracy during training?
Apr 29, 2019 · During training, the loss sometimes increases within the same epoch, leading to unstable learning. The accuracy hits a plateau around 70%. I have tried changing the learning …
python - Which loss function and metrics to use for multi-label ...
Dec 14, 2019 · Multi-label and single-Label determines which choice of activation function for the final layer and loss function you should use. For single-label, the standard choice is Softmax …
How to penalize False Negatives more than False Positives
Mar 7, 2018 · 23 There are several options for you: As suggested in the comments, class_weight should boost the loss function towards the preferred class. This option is supported by various …
machine learning - What is the difference between loss function …
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 …