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
How can we assess the accuracy of the best fit line in linear regression?
Monday, 07 August 2023
by EITCA Academy
Assessing the accuracy of the best fit line in linear regression is important in evaluating the performance and reliability of a machine learning model. There are several techniques and metrics that can be used to measure the accuracy of the best fit line, providing valuable insights into the model's predictive capabilities and potential limitations. In