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

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.

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