Neural Networks Demystified: Data & Architecture 📊
Explore the fundamentals of neural networks, focusing on data and architecture in Part 1. Supporting code available on GitHub.
Welch Labs
824.2K views • Nov 4, 2014
About this video
Neural Networks Demystified
Part 1: Data and Architecture
@stephencwelch
Supporting Code:
https://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
Part 1: Data and Architecture
@stephencwelch
Supporting Code:
https://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
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Video Information
Views
824.2K
Likes
9.5K
Duration
3:07
Published
Nov 4, 2014
User Reviews
4.6
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