Neural Networks Demystified [Part 1: Data and Architecture] @WelchLabs
Neural Networks Demystified [Part 1: Data and Architecture]  @WelchLabs
Uploaded November 2014 | Updated September 2026, 3 weeks ago
Neural Networks Demystified
Part 1: Data and Architecture
@stephencwelch

Supporting Code:
github.com/stephencwelch/Neural-Networks-Demystified

In this short series, we will build and train a complete Artificial Neural Network in python. New videos every other friday.

Part 1: Data + Architecture
Part 2: Forward Propagation
Part 3: Gradient Descent
Part 4: Backpropagation
Part 5: Numerical Gradient Checking
Part 6: Training
Part 7: Overfitting, Testing, and Regularization
Neural Networks Demystified [Part 1: Data and Architecture]Self Driving Cars [S1E1: The ALV]Neural Network is a Ridiculous Name.How to Science [Part 1: Music]Imaginary Numbers Are Real [Part 9: Closure]Retrograde motionAwakened from a sleep.Kepler’s OriginLearning to See [Part 5: To Learn is to Generalize]The most beautiful equation in math, explained visually [Euler’s Formula]40% error 😳Channel Update [April 2017]
Welch Labs |

Neural Networks Demystified [Part 1: Data and Architecture]

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER