From 984b39a6f85486a1831a5547b7c1b4dd3c6366dd Mon Sep 17 00:00:00 2001 From: "dbitter@anwb.nl" Date: Wed, 1 May 2024 14:59:36 +0200 Subject: [PATCH] feat(talk): add tensorflow talk --- ...generate-open-graph-images-using-next-serverless copy.md | 6 ------ ...y-machine-learning-in-the-browser-with-tensor-flow-js.md | 6 ++++++ 2 files changed, 6 insertions(+), 6 deletions(-) delete mode 100644 data/talks/dynamically-generate-open-graph-images-using-next-serverless copy.md create mode 100644 data/talks/on-the-fly-machine-learning-in-the-browser-with-tensor-flow-js.md diff --git a/data/talks/dynamically-generate-open-graph-images-using-next-serverless copy.md b/data/talks/dynamically-generate-open-graph-images-using-next-serverless copy.md deleted file mode 100644 index 8a0bbc28..00000000 --- a/data/talks/dynamically-generate-open-graph-images-using-next-serverless copy.md +++ /dev/null @@ -1,6 +0,0 @@ ---- -title: Dynamically generate Open Graph images using Next.js Serverless -summary: We all know how you can add an OG image to your website. But did you know it is quite easy to generate custom, freshly designed and stateful images which make you stand out from the crowd? -tags: ['frontend', 'serverless', 'Open Graph', 'Next.js', 'react.js'] -authors: ['dave-bitter'] ---- diff --git a/data/talks/on-the-fly-machine-learning-in-the-browser-with-tensor-flow-js.md b/data/talks/on-the-fly-machine-learning-in-the-browser-with-tensor-flow-js.md new file mode 100644 index 00000000..cc53d2a0 --- /dev/null +++ b/data/talks/on-the-fly-machine-learning-in-the-browser-with-tensor-flow-js.md @@ -0,0 +1,6 @@ +--- +title: On-the-Fly Machine Learning in the Browser with TensorFlow.js +summary: TensorFlow.js makes machine learning incredibly accessible by bringing it to the browser. Front-end developers can use this to create amazing applications. In this talk, we’ll take a look at TensorFlow.js in combination with MobileNet, a lightweight deep neural network computer vision model perfect for the “low-powered” devices browsers often run on, bringing machine learning capabilities to everybody. We’ll not just have a look at how you can make this work, but will even train the dataset on the fly using transfer learning. +tags: ['frontend', 'machine learning', 'TensorFlow.js'] +authors: ['dave-bitter'] +---