diff --git a/lessons/3-NeuralNetworks/03-Perceptron/README.md b/lessons/3-NeuralNetworks/03-Perceptron/README.md index 48d9fcb6..4c1d6e28 100644 --- a/lessons/3-NeuralNetworks/03-Perceptron/README.md +++ b/lessons/3-NeuralNetworks/03-Perceptron/README.md @@ -1,5 +1,7 @@ # Introduction to Neural Networks: Perceptron - +## Available in Multiple Languages +- [中文](translations/README.zho.md) + ## [Pre-lecture quiz](https://red-field-0a6ddfd03.1.azurestaticapps.net/quiz/103) One of the first attempts to implement something similar to a modern neural network was done by Frank Rosenblatt from Cornell Aeronautical Laboratory in 1957. It was a hardware implementation called "Mark-1", designed to recognize primitive geometric figures, such as triangles, squares and circles.