What is the activation function used in the deep neural network model for multi-class classification problems?
Tuesday, 08 August 2023
by EITCA Academy
In the field of deep learning for multi-class classification problems, the activation function used in the deep neural network model plays a crucial role in determining the output of each neuron and ultimately the overall performance of the model. The choice of activation function can greatly impact the model's ability to learn complex patterns and
What are the two methodologies for classifying multiple groups using support vector machines (SVM)? How do they differ in their approach?
Monday, 07 August 2023
by EITCA Academy
The two methodologies for classifying multiple groups using support vector machines (SVM) are one-vs-one (OvO) and one-vs-rest (OvR). These methodologies differ in their approach to handling multi-class classification problems. In the OvO approach, a separate binary SVM classifier is trained for each pair of classes. For N classes, this results in N * (N –