{"id":59250,"date":"2021-03-25T15:39:39","date_gmt":"2021-03-25T15:39:39","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=news&p=59250"},"modified":"2024-09-20T17:45:41","modified_gmt":"2024-09-20T16:45:41","slug":"automating-the-training-of-ml-models-with-google-cloud-ai-platform","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/es\/blog\/automating-the-training-of-ml-models-with-google-cloud-ai-platform\/","title":{"rendered":"Automatizaci\u00f3n del entrenamiento de modelos ML con Google Cloud AI Platform"},"content":{"rendered":"

Author<\/h2><\/div>\"Image\"

Sacha Lasry<\/h3><\/div>

Data Scientist at Artefact France<\/p>\n<\/div>

<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

TL;DR<\/strong><\/p>\n

Training a ML model can sometimes be complicated to set-up and replicate:<\/p>\n

\u2022 It might be done using some code hosted on a notebook on a VM that you have to launch manually and turn off when it\u2019s finished
\n\u2022 You may have to upload a training dataset each time you want to train it again
\n\u2022 You need to deep dive into your code when you want to change a single parameter
\n\u2022 etc.<\/p>\n

In this article, we\u2019ll see how we automated the training process of FastAI\u2019s text classifiers, using Google Cloud AI Platform.<\/p>\n

In a second article, we\u2019ll see how we managed to deploy such models with AI Platform and TorchServe.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

You can find more about us and our projects on our Medium blog<\/p>\n<\/div>

View Articles<\/span><\/a><\/div><\/div><\/div><\/div><\/div>
\"Blog<\/a><\/span><\/div>

For who?<\/h2><\/div>

If you\u2019re working on a project that requires to train ML models multiple times, and you\u2019re tired of having to manually run your trainings, you\u2019ve come to the right place.<\/p>\n<\/div>

If you\u2019re tired of managing VMs for your training and just want your time to be allowed to something more interesting, like reading Medium articles, you\u2019ve also come to the right place!<\/p>\n<\/div>

This article is dedicated to those who want to know how they can gain time and resources by using AI Platform for the training of their ML models. We\u2019ll see in this article how we applied this to a project we worked on, using\u00a0FastAI<\/a>.<\/p>\n<\/div>

This article is dedicated to those who want to know how they can gain time and resources by using AI Platform for the training of their ML models. We\u2019ll see in this article how we applied this to a project we worked on, using\u00a0FastAI<\/a>.<\/p>\n<\/div>

Pre-requisites if you want to reproduce what we did<\/h2><\/div>

AI Platform is part of the Google Cloud Platform suite, as well as the other services we used to automate our training pipeline. Here are the GCP services we used:<\/p>\n<\/div>