Calculating the Backpropagation of a Network

Author(s): Javed Ashraf

Originally published on Towards AI.

A beginner’s guide to the math behind backpropagation

Machine learning has become a trending topic for many programmers and companies to investigate & utilize. Though there are various frameworks and tools which help to develop your own networks, it ends up being a black box where we send data and it generates the required outputs; provided you experiment around with various network architectures.

However, if you are someone like me who curious to know what’s inside the black box; specifically, the back-propagation and how it affects the network, I hope this post helps you understand it better.

When training the network, you can keep varying the variables and perform forward… Read the full blog for free on Medium.

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Published via Towards AI