Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)

Publié le: 01 janvier 1970
sur la chaîne: codebasics
114,768
3.2k

Derivatives and partial derivatives are important concepts that we need to understand in order to gain knowledge on how neural network training works. We will be covering error back-propagation algorithm, gradient descent, chaining rule etc in upcoming videos. This video on derivatives and partial derivatives is a pre-requisite for those advanced level videos later. Derivative is very much similar to a slope. But it is a function and used for non linear equations. Slope is a constant and is used for linear equations. At the end of this video I have an exercise for you to solve. Please find derivative for those 6 equations and let me know how many you got right out of 6.

Exercise: https://github.com/codebasics/deep-le...
Derivatives: https://www.mathsisfun.com/calculus/d...

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Prerequisites for this series:   
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