Understanding Backpropagation In Neural Networks with Basic Calculus

This video explains Backpropagation in neural networks and deep learning with basic knowledge of Calculus. In machine learning, backpropagation or backprop is a widely used algorithm for training feedforward neural networks. Backpropagation computes the gradient of the loss function with respect to the weights of the network. Therefore, this video explains how to compute partial derivatives and the gradient of multivariable functions before considering a simple neural network model.

#Backpropagation #NeuralNetwork #DeepLearning