From c4edd02d3e306f98ea360a66c71abe193d85c31a Mon Sep 17 00:00:00 2001 From: nprimo Date: Thu, 14 Mar 2024 11:49:37 +0000 Subject: [PATCH] feat(emotions-detector): fix broken link --- subjects/ai/emotions-detector/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/subjects/ai/emotions-detector/README.md b/subjects/ai/emotions-detector/README.md index a78625d8e..7b0f113f6 100644 --- a/subjects/ai/emotions-detector/README.md +++ b/subjects/ai/emotions-detector/README.md @@ -11,8 +11,8 @@ focus on two tasks: With the computing power exponentially increasing the computer vision field has been developing exponentially. This is a key element because the computer power allows using more easily a type of neural networks very powerful on images: CNN's (Convolutional Neural Networks). Before the CNNs were democratized, the algorithms used relied a lot on human analysis to extract features which obviously time-consuming and not reliable. If you're interested in the "old -school methodology" [this article](towardsdatascience.com/classifying-facial-emotions-via-machine-learning-5aac111932d3) -explains it. The history behind this field is fascinating! [Here](https://kapernikov.com/basic-introduction-to-computer-vision/) is a short summary of its history. +school methodology" [this article](https://towardsdatascience.com/classifying-facial-emotions-via-machine-learning-5aac111932d3) explains it. +The history behind this field is fascinating! [Here](https://kapernikov.com/basic-introduction-to-computer-vision/) is a short summary of its history. ### Project goal and suggested timeline