Can someone please explain Lovasz softmax loss? as its a bit difficult to understand why it works well from the original paper
133323
Intuitive explanation of Lovasz Softmax loss for Image Segmentation problems
82212
What is the loss difference between offseting and rollover the contracts?
109966
How does the Adam method of stochastic gradient descent work?
123715
Why is it important to include a bias correction term for the Adam optimizer for Deep Learning?
22396
Intuition on the Kullback–Leibler (KL) Divergence
49735
Does this analysis make sense and can anyone provide relevent references?
115126
What is a loss function in decision theory?
80085
Why does the accuracy not change, when applying different alpha values in L2 regularisation
109822
Problem understanding the logistic regression link function
119698
Why are bias nodes used in neural networks?
35937
Softmax vs Sigmoid function in Logistic classifier?
148168
Is the way that VDS(max) is calculated correct?
98554
Deep NNs, backpropagation and error calculation
132334
Is it okay to use cross entropy loss function with soft labels?
99065
Confusion on Bid vs. Ask and Spread; Profits
36032
Why does the loss/accuracy fluctuate during the training? (Keras, LSTM)
40747
How does rand() work? Does it have certain tendencies? Is there something better to use?