MACHINE LEARNING

Detailed explanation-1: -Residual Network (ResNet) is a Convolutional Neural Network (CNN) architecture that overcame the “vanishing gradient” problem, making it possible to construct networks with up to thousands of convolutional layers, which outperform shallower networks. A vanishing gradient occurs during backpropagation.

Detailed explanation-2: -Need for ResNet Mostly in order to solve a complex problem, we stack some additional layers in the Deep Neural Networks which results in improved accuracy and performance. The intuition behind adding more layers is that these layers progressively learn more complex features.