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Based on our record, Deep playground seems to be a lot more popular than True. While we know about 26 links to Deep playground, we've tracked only 1 mention of True. 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.
Hi everyone! I'm Helen, I'm helping out with product and growth at True (NOT Truth Social—completely different product!). We're looking for people to try our free social networking app that's built for small communities. We're especially interested in having the following folks come on board to test it out:. Source: over 1 year 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 / about 2 months ago
For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 4 months ago
Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 8 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 / 10 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: 10 months ago
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