• Evan Juras

Plans for the Learn Page: A Library of ML Reference Materials

Welcome to ejtech.io/learn! This portion of the site is still under development, but we thought we'd briefly write about our plans for it.

ejtech.io/learn will be a knowledge library of ML and CV tutorials, code examples, and articles.

[Photo by Alfons Morales on Unsplash]


We want this site to help people learn how to use machine learning (ML) and computer vision (CV). It will host tutorials, code examples, and knowledge articles that make it easy for anyone get started writing their own ML and CV applications. We'll have articles like:


  • How to Train A Custom TensorFlow Lite Object Detection Model

  • How to Run TensorFlow Lite Models on Windows with Anaconda

  • How to Process Online Video Streams with OpenCV

  • and many more!

Ultimately, the Learn page will be designed to look more like a documentation website rather than a list of blog posts. We've always liked how pages like https://cplusplus.com/doc/tutorial/ organize their teaching materials in a way that allows readers to easily find the topic they're looking for. We plan to have a similar layout, with categories like "machine learning", "classic computer vision", "Raspberry Pi", and more.


Stay tuned for lots of cool content that will build your expertise with machine learning and computer vision! In the meantime, if you have any questions, feel free to reach out to us at info@ejtech.io.

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