What is the mathematical formula for the loss function in convolution neural networks?
Thursday, 23 May 2024 by EITCA Academy
Mathematical Formula for the Loss Function in Convolutional Neural Networks In the domain of convolutional neural networks (CNNs), the loss function is a critical component that quantifies the difference between the predicted output and the actual target values. The choice of the loss function directly impacts the training process and the performance of the neural
- Published in Artificial Intelligence, EITC/AI/ADL Advanced Deep Learning, Advanced computer vision, Convolutional neural networks for image recognition
Tagged under: Artificial Intelligence, Binary Classification, CNN, Cross-Entropy, Loss Function, MSE