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Based on our record, Deep playground seems to be a lot more popular than CollegeBacker. While we know about 26 links to Deep playground, we've tracked only 2 mentions of CollegeBacker. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I’ve heard great things about this website, too! Makes it easy for family and friends to contribute. https://backer.com/. Source: over 1 year ago
- If you want to pay for college for kids, you can start a 529 plan BEFORE they are born (put it in your name, transfer it to them). Check out companies like backer (https://backer.com/) - family and friends can contribute to these 529 plans... Especially if you take the advice above re: free and for sale / buy nothing groups, you can tell your family / friends you rather they contribute to your kids' college (and... Source: almost 3 years ago
Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good. For example, take the circle dataset here: https://playground.tensorflow.org That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by... - Source: Hacker News / 3 months ago
For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 5 months ago
Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 9 months ago
There’s an interactive neural network you can train here, which can give some intuition on wider vs larger networks: https://mlu-explain.github.io/neural-networks/ See also here: http://playground.tensorflow.org/. - Source: Hacker News / 11 months ago
This site is worth playing around with to get a feel for neural networks, and somewhat about ML in general. There are lots of strategies for statistical learning, and neural nets are only one of them, but they essentially always boil down into figuring out how to build a “classifier”, to try to classify data points into whatever category they best belong in. Source: 11 months ago
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