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In this video we will understand What is Forward Propagation & backpropagation calculus really doing in Deep learning. The following video is sort of an appendix to this one. The main goal with the follow-on video is to show the connection between the visual walk through here, and the representation of these "nudges" in terms of partial derivatives that you will find when reading about backpropagation in other resources, like Michael Nielsen's book or Chis Olah's blog. ----------------- Timeline: Start ( 0:00 ) 1). Neural Network Structure ( 0:56 ) 2). How does Forward propagation work? ( 1:54 ) -- What is Bias? (02:10) 3). backpropagation demystified ( 06:36) ------------------ Do subscribe to my channel and hit the bell icon to never miss an update in the future: / @nerdml Please find the previous Video link - Activation Functions in a Neural Network explained | Sigmoid, Tanh, ReLU, Leaky ReLU, Softmax Functions | NerdML : • Activation Functions in a Neural Network |... Machine Learning Tutorial Playlist: • Machine Learning Tutorial Deep Learning Tutorial Playlist : • Deep Learning Tutorial Used image from https://mlfromscratch.com/ Creator : Rahul Saini Please write back to me at rahulsainipusa@gmail.com for more information Instagram: / 96_saini Facebook: / rahulsainipusa LinkedIn: / rahul-s-22ba1993 machine learning deep learning Mathematics computer vision backpropagation Artificial Neural Network #backpropagation, #NeuralNetwork, #NerdML