The ACS model is optimized using gradient descent (GD), which, although not the only optimization method, remains the most practical ... Since the dataset is a binary classification for breast cancer ...

A function's gradient at any given point shows which way the ascent is most vital, while its negative slope shows which way the descent is steepest ... especially when addressing binary classification ...

This repo attempts to proposes a supervised learning algorithm of SNN by using spike sequences with complex spatio-temporal information. We explore an error back ...

Results: The multi-label classification algorithm based on ResNet-50 ... We loaded the model on the GPU for training by using binary cross-entropy loss. Furthermore, we utilized the stochastic ...

Deep-learning algorithms often generalize ... we considered so far only gradient flow in binary classification. We note that many of the results here can also be extended to other gradient methods ...

Basically, a neural network is a directed graph of nodes called neurons ... s behavior moves further away from correct. Gradient descent algorithms take the loss function and use partial ...