Mar 19Installing WSL2, PyTorch and CUDA on Windows 11If you have a compatible Nvidia GPU, you can work seamlessly with Ubuntu Linux and CUDA within your regular Windows 11 (22H2) OS. Really, it’s the best of both worlds! However installing the frameworks and tools is really not that well documented, so hopefully this walkthrough will help. The first…Deep Learning3 min readDeep Learning3 min read
Oct 22, 2020Visual Studio Code, Google Cloud Run and MultipassI recently wrote a story about how using Canonical’s multipass can provide a WSL-like isolated development environment on MacOS and Linux. I am a rather big fan of simple deployment and CI/CD, hence wanted to see if I could integrate Google Cloud Run deployment through Visual Studio Code on Multipass…3 min read3 min read
Oct 22, 2020Get WSL Style Code Isolation in MacOS Using MultipassI have been developing software for many years now, and have always defaulted to Apple hardware, based on their UNIX-style OS and the terminal applications / CLI. …5 min read5 min read
Jul 24, 2020Member-onlyUsing React Context API in NextJS ApplicationsGlobal state in React has always been an area that has been a bit hit and miss. At the start there was the concept of passing props down the component hierarchy, and using callbacks as props to get data back up the chain. As you can imagine, this quickly got…React3 min readReact3 min read
Sep 30, 2019The Easy Way To Run Docker Containers on AzureRunning docker containers on Azure doesn’t need to be complicated, and you don’t even need Docker installed locally! All you need is the Azure CLI toolkit, which you can get easily through a package manager, for example on MacOS you can run: brew install azure-cli Once you have the CLI…Docker3 min readDocker3 min read
Oct 15, 2018Deep Learning on a Mac? Turi Create Review.I am a self-confessed Apple fanboy, and own both an iMac Pro and a 2018 MacBook Pro. I also own a couple of custom built Linux machines, solely (and reluctantly) for deep learning and artificial intelligence development. Essentially as the platform of choice for graphics processing in the Mac is…Machine Learning6 min readMachine Learning6 min read
Published inGoogle Cloud - Community·Mar 28, 2018Creating Build Triggers in Google Cloud Container EngineWe use Google Cloud Platform within our platform, to deploy ML models to the cloud as containers, and serve them using Kubernetes Engine. For developers, the process of pushing code changes to GitHub / BitBucket and then having to run through docker build and gcloud processes to deploy the code…Google Cloud Platform2 min readGoogle Cloud Platform2 min read
Published inGoogle Cloud - Community·Mar 28, 2018Deploying Docker Images To Google Cloud Using Kubernetes EngineThis post assumes that you already have a working docker image, that you can build and run on your local machine, and obviously a Google Cloud account with all of the necessary APIs activated, and the Google Cloud SDK installed on your machine. …Docker2 min readDocker2 min read
Mar 28, 2018Serving and Deploying Keras Models using Flask, UWSGI, NGINX and DockerAnyone who has tried (and failed) deploying their Keras models will understand the frustration of getting your trained models out there on the cloud. It is all well and good having all of the code sitting their in a Jupyter Notebook, but eventually you will want to deploy and run…Docker2 min readDocker2 min read
Mar 26, 2018Installing Tensorflow 1.6.0 + GPU on Manjaro LinuxMost of the tutorials out there on setting up deep learning tools such as TensorFlow and Keras seem to be focused on Ubuntu. This is great and all, but what if you prefer a different distribution? I personally am a big Arch Linux fan, and moreso, a Manjaro fan. …Deep Learning5 min readDeep Learning5 min read
