I built a visualiser for the Google Cloud Video intelligence API that allows anybody to explore all of the features of the API.


If you’re working with video, then the Video Intelligence API has a lot of powerful features for analysing and detecting what’s in your videos, for small pet…

Over lockdown I built a voice app that would interview me about my projects and help write articles for me. …

A while ago I tried to make my bike smarter with machine learning to help keep me safe whilst commuting through busy London streets.


If you live in a big city and cycle you probably have developed superhuman reflexes and awareness, especially in cities like London where a lot of…

During the summer I was asked to help with some video recording for a rugby tournament, but rather than spending hours rewatching footage to find highlights, I quickly threw together some tech to make things a lot easier.


Sport videography is a hobby of mine (specifically rugby). It is however…

At Google I/O this year I used ML to build an automated video processing pipeline that detects what’s in a video and automatically hides the parts you would find scary.

see the video of this in action at Google I/O


Whilst watching some movies with some friends, we discovered that…

Don’t leave your models to rot into obscurity

So you’ve deployed your machine learning model to the cloud and all of your apps and services are able to fetch predictions from it, nice! You can leave that model alone to do its thing forever… maybe not. Most machine learning models are modeling something about this world, and this…

Recently a friend got me into basketball. Turns out, it’s a lot harder than it looks. No matter, I can over engineer a solution using machine learning. If your into ML and shooting hoops then there’s also this article that combined TensorFlow and basketball in a simulation.

At the risk of alienating a lot of readers… I grew up with GUI’s, so I never needed to learn the ways of the terminal! This is socially acceptable in todays society of friendly user interfaces, except maybe if you’re in software engineering… whoops!

Manager — “Oh this is easy, just use this command line app”, Me — ”Yes…the command line… I’ll use that…”

Getting back my software engineering street cred’

I’ve gotten pretty far just through…

Manually labelling data is nobodies favourite machine learning chore. You needn’t worry though about asking others to help out provided you can give them a pleasant tool for the task. Let me present to you: generated Google Forms using Google App Script!

Google App Scripts allow you to build automation between Google Apps

The regular way people might label data is…

Here’s a dataset that is designed to help showcase when a Recurrent Convolutional Neural Network (RCNN) will outperform its’ non-recurrent counterpart, the Convolutional Neural Network (CNN).

A little primer

Recurrent models are models that are specially designed to use a sequence of data in making their predictions (e.g …

Zack Akil

(www.zackakil.com) Machine Learning Maker @ Google

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