Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.

The main ideas behind Backpropagation are super simple, but there are tons of details when it comes time to implementing it. This video shows how to optimize three parameters in a Neural Network simultaneously and introduces some Fancy Notation.

NOTE: This StatQuest assumes that you already know the main ideas behind Backpropagation:    • Neural Networks Pt. 2: Backpropagation Mai...  
...and that also means you should be familiar with...
Neural Networks:    • The Essential Main Ideas of Neural Networks  
The Chain Rule:    • The Chain Rule, Clearly Explained!!!  
Gradient Descent:    • Gradient Descent, Step-by-Step  

LAST NOTE: When I was researching this 'Quest, I found this page by Sebastian Raschka to be helpful: sebastianraschka.com/faq/docs/backprop-arbitrary.h…

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0:00 Awesome song and introduction
3:01 Derivatives do not change when we optimize multiple parameters
6:28 Fancy Notation
10:51 Derivatives with respect to two different weights
15:02 Gradient Descent for three parameters
17:19 Fancy Gradient Descent Animation

#StatQuest #NeuralNetworks #Backpropagation