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Training a Neural Network in a Spreadsheet

This is Part 1 in a series in which we create and train a neural network in a spreadsheet. This covers Gradient Descent Backpropagation for a simple (1 layer) neural network that learns the AND function. We create and investigate a worked example of the formulas involved. Part 2:    • Training a Deep Neural Network in a S...   Background information on Neural Nets:    • But what is a neural network? | Deep ...   http://neuralnetworksanddeeplearning.... Sheets Template: https://bit.ly/NNsheet Geogebra plot: https://www.geogebra.org/3d/ywg8mmax More information on the Backpropagation Algorithm:    • Backpropagation calculus | DL4   http://neuralnetworksanddeeplearning.... Narration by James K. Script and visualizations by Kaylee L. 0:00 Intro 1:23 Overview of neural networks 1:42 What we want to learn - AND function 2:18 Formulas that make up a neural network 2:49 Building the neural network 5:57 Hand-training the neural network 9:31 Examining our hand-trained solution 10:36 Line of best fit analogy 11:17 High-level explanation of gradient descent backpropagation 11:41 Formulas behind gradient descent 13:00 Implementing gradient descent in our spreadsheet 19:30 Using copy/paste to iteratively train the network 21:07 Recap Entry in https://www.3blue1brown.com/blog/some1 #SoMe1 Full playlist of various Neural Networks in Spreadsheets:    • Training a Neural Network in a Spread...