COMPUTER VISION

Using logistic regression to classify images

Dec 26, 2017 · 9 min read · MACHINE LEARNING MATH COMPUTER VISION ·

In this blog post I show how to use logistic regression to classify images. Logistic regression is a statistical method for binary classification, i.e. for analyzing the dependency of a binary outcome on one or more independent variables. In a previous blog post I described linear regression. If you’re not familiar …

Deep Neural Network for MNIST Handwriting Recognition

Feb 12, 2016 · 28 min read · MACHINE LEARNING COMPUTER VISION ·

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I finally found some time to enhance my neural network to support deep learning. The network now masters a variable number of layers and is capable of running convolutional layers. The architecture is generic, light weight (very small memory footprint) and super fast. :-) In a previous blog post I wrote about a …

Simple 3-Layer Neural Network for MNIST Handwriting Recognition

Aug 9, 2015 · 23 min read · MACHINE LEARNING COMPUTER VISION ·

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I've extended my simple 1-Layer neural network to include a hidden layer and use the back propagation algorithm for updating connection weights. The size of the network (number of neurons per layer) is dynamic. It's accuracy in classifying the handwritten digits in the MNIST database improved from 85% to >91%. …

Simple 1-Layer Neural Network for MNIST Handwriting Recognition

Jul 15, 2015 · 12 min read · MACHINE LEARNING COMPUTER VISION ·

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In this post I'll explore how to use a very simple 1-layer neural network to recognize the handwritten digits in the MNIST database. In my previous blog post I gave a brief introduction how neural networks basically work. In this post I want to apply this know-how and write some code to recognize handwritten digits …