#NSFWJS has several models to chose from, and the 90% accuracy model loses accuracy in a specific way.

Because sometimes it's better to flag things and be wrong, rather than the alternative. These errors are "false positives" and are called "Type 1 Errors".

In some cases a type 1 error is preferred. The 90% mobilenet model might seem silly when it makes this mistake, but due to the nature of NSFW content, it's important.

Quick Tweet Storm ⛈

How does AI bounding box detection work?

🧠 Learn in 30 seconds

#100DaysOfCode #CodeNewbie #MadeWithTFJS #MachineLearning #ComputerVision It looks so simple when #AI does it right?

But #machinelearning doesn't give you an image, it gives you data. It's up to you to make it look simple.

Incoming Tweet Storm ⛈

I'm so happy to announce my #TensorFlowJS book with @OReillyMedia

The book is geared towards #JavaScript devs looking to learn #AI / #ML

1/5

amzn.to/3dR3vpY It's been a complete pleasure to work with #OReillyMedia

They are professionals, but they let me keep my personality which I feel is critical to all the #CodeNewbie folk in #tech.

2/5