How Backpropagation works | A visual step by step overview
In this lecture, we explain visually in detail how the backpropagtion algorithm is used to train Neural Networks. We start by introducing the concept of Deep Learning. Then we demonstrate step by step a forward and backward pass for a chain of expressions that forms a Neuron. Finally we do a full forward and backward pass through a 2 layer neural network.
The goal of this lecture is to give learners a detailed visual overview of how the backpropagtion algorithm works and helps to compute the sensitiviy of the loss function with respect to the weights of the neural network
This series is taught by Dr Anil Variyar, who has a PhD in Aeronautics and Astronautics from Stanford University.
#backpropagation #deeplearning #learnai #artificialintelligence #neuralnetworks
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