Rick Wierenga  

@rickwierenga

Learning and I want my computer to do the same | WWDC ‘19 | 16 y/o | author | my own blog at

The Netherlands  
Joined August 2018

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  1. Pinned Tweet

    New blog post: *An introduction to GANs in * * What is a Generative Adversarial Network? * What is a Deep Convolutional Generative Adversarial Network? * How do I build a DCGAN in ?

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  2. Should I turn "An introduction to machine learning through polynomial regression" into a series called "ML from Scratch" series where I discuss the mathematics behind ML foundations?

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  3. how to mess with your coworkers

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  4. sudo find / -name ".DS_Store" -depth -exec rm {} \;

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  5. Jan 29

    Hello World 👋 We are beyond excited to release V0.0.1 of our libraries, written 100% in 🎉 We aim to make working with easier with a growing set of helpful libraries:

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  6. So excited to announce the library I have been working on with , another contestant I met *during* the contest! Go check it out

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  7. Jan 28

    Web Inspector Tip: You can use console.screenshot([target]) to capture a screenshot of the given target (e.g. a Node) or the viewport.

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  8. As a part of I started updating (5.8K⭐️) to 2 and Keras. I just updated a few more notebooks. Stay tuned!

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  9. Jan 28

    Valuable information is increasingly free. The focus to learn and apply it is increasingly rare.

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  12. Jan 27

    Introducing swift-doc: an (experimental) command-line utility for generating documentation for Swift projects. It's still early on, but I'm really excited about the infrastructure behind it, and how it can be used to develop Swift tooling. 🧵⬇️

    $ swift swift-doc path/to/SwiftProject/Sources \
			--output Documentation
$ tree Documentation
$ Documentation/
├── Home
├── (...)
├── _Footer.md
└── _Sidebar.md
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  13. Mentors: Gulshan Rana, and

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  14. A few interesting points: * Every ResNet (v1) overfitted * DenseNet 169 performed best * All DenseNets performed better than any other model by at least 3%. Larger DenseNets (169 and 201 performed 10% better)

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  16. Thanks to (Ayush) and (Yasaswi) for mentoring this project. cc

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  17. As a part of I started updating (5.8K⭐️) to 2 and Keras. I just updated a few more notebooks. Stay tuned!

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  18. Here is my very first tutorial - autoencoders in (96.2% compression!) - convolutional autoencoders - denoising autoencoders (see results below!) Colab: GitHub: (leave a ⭐️ :D)

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  20. Imagine a github with binaries only and everyone having to reverse engineer the code to make a contribution. But GitHub is arxiv and binaries are papers. Isn’t that where is heading? Imo papers should be explanations not products.

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  21. Jan 26

    There is no area of our lives that is not radically affected by our ability to be 100% committed; this includes our health, relationships, careers, beliefs and goals. True commitment takes us far beyond the point of no return, and that is where authentic transformation awaits us.

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