Tag: Computer vision [CV]

A Fully connected neural network in JAX

posted on 2020-12-25T14:48:19Z

JAX is the hot new ML-tool on the block. I’m currently trying to get acquinted with it. The first thing I usually do to get to know a tool like this is to make a simple neural network to solve the MNIST digit recognition task. So here we go…

Towards a loss function for YOLO

posted on 2020-09-01T09:57:11Z

Writing the second part of the YOLO series took a lot longer than I care to admit… but, it’s finally here! In this part we’ll go over the definition of a loss function to train the YOLO architecture.

Building Tiny YOLO from scratch using PyTorch

posted on 2020-04-23T12:09:34Z · last modified on 2020-09-01T09:57:11Z

In this series we’ll go over YOLO (You Only Look Once), a state-of the art object detection deep neural network. In this blog post, we’ll build the simplest YOLO network: Tiny YOLO v2. This stripped down version of YOLO will yield the easiest introduction to the neural network structure of YOLO, while still providing close to state-of-the-art performance.