Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

freeCodeCamp

Machine Learning & Neural Networks without Libraries – No Black Box Course

via freeCodeCamp

Overview

Dive into an in-depth, no-library machine learning course focused on building a web app that recognizes drawings. Learn to implement sophisticated features and classification methods, including neural networks, to increase accuracy. Explore crucial concepts such as data cleaning, confusion matrices, geometry, and the difference between vector and raster data. Gain hands-on experience in measuring elongation and roundness, optimizing neural networks, and working with deep neural networks. Perfect for those seeking to understand the inner workings of machine learning systems while enhancing their software development skills.

Syllabus

Introduction
Phase 1 Code Review
Data Cleaning
Confusion Matrix
Euclidean Distance Marker
Measuring the Elongation
Measuring the Roundness
Vector vs Raster Pixels
Neural Networks
Optimizing Neural Networks
Deep Neural Networks

Taught by

freeCodeCamp.org

Reviews

Start your review of Machine Learning & Neural Networks without Libraries – No Black Box Course

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.