YoVDO

I Built a Neural Network in Minecraft - Analog Redstone Network with Backprop and Optimizer (No Mods)

Offered By: Yannic Kilcher via YouTube

Tags

Minecraft Courses Neural Networks Courses Gradient Descent Courses

Course Description

Overview

Explore the construction of an analog neural network in vanilla Minecraft without mods or command blocks in this innovative video tutorial. Learn how Redstone wire power strengths carry signals through a hidden layer, incorporating nonlinearities, automatic backpropagation, and weight updates. Dive into explanations of Redstone components, analog multiplication techniques, and gradient descent for square root computation. Witness a live demonstration of the neural network in action, followed by a detailed breakdown of the network schema. Observe the network learning process as it adapts to a datapoint, and gain insights into the potential applications of this unique Minecraft creation.

Syllabus

- Intro & Overview
- Redstone Components Explained
- Analog Multiplication in Redstone
- Gradient Descent for Square Root Computation
- Neural Network Demonstration
- Network Schema Explained
- The Network Learns a Datapoint
- Outro & Conclusion


Taught by

Yannic Kilcher

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity
Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX