Transfer learning is a popular approach used in machine learning where a model trained on a task is re-purpose a model designed for a different task. Therefore the definition of Transfer Learning is the following. Given a source domain D(s) and learning task T(s), a target domain D(
Here is a simple tutorial on how to use the mobilenet model released by google with tensorflow-js. This tutorial requires node v >10 and the parcel bundler. To install node use nvm https://github.com/nvm-sh/nvm and to install parcel just run npm -i g parcel-bundler step 1
Tensorflow is the defacto standard for building advanced neural networks of any kind. Natively tensorflow is a python library and gives to the user a framework that simplifies operation with tensors. A tensor is a mathematical object analogous to but more general than a vector, represented by an array of
Playing with models released for tensorflow js. Posenet is a neural network that allows the estimation of a human pose from an image. For more technical information about how it actually works refer to this blog post https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5 import * as posenet from "@tensorflow-models/posenet"
I needed a cool way to visualize a force directed graph with many datapoints, so I thought that webGL was the way to go as it should be able to handle the heavy load better than d3 SVG. The library I've used for this small proof of concept
Client side routing explained React router is the defacto standard for client side routing in React SPA application. To understand how React router works ( and other type of client side routing libraries), first, we need to understand how client side router works. Server side routing On a server side web
Face-api.js is a great library that uses tensorflowjs to do face recognition, face detection, face landmarks, and other stuff with faces... The problem is that is complicated, the code is complicated, the examples are complicated and the documentation is complicated. The dude writing here likes simple things, he is
Simple webapp that turns your webcam into ASCII art. code is available on github at https://github.com/david1983/ascii_cam I've done this in 2015 when I realised that I did not know JS enough ... so it is done in vanilla JS, without any libraries and using
Code golf winner of the js1k2010 c=document.getElementById("c");h=t=150;L=w=c.width=800;u=D=50;H=[];R=Math.random;for($ in C=c.getContext('2d'))C[$[J=X=Y=0]+($[6]||'')]=C[$];setInterval("if(D)for(x=
Docker compose is awesome, especially if you need to spin up your local development environment. the following is the docker-compose I use at home. version: '2.1' services: zoo1: image: zookeeper:3.4.9 restart: unless-stopped hostname: zoo1 ports: - "2181:2181" environment: ZOO_MY_ID: