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Changing colors to rainbow colors #104
base: xor
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Coding Challenge: handwritten number recognition
Fixed typo in TODO.md
Fix video repo link
This is much more appealing !!!! Keep up the good work.
Adding to README the CircleCi Build Status.
Moved the To-Do list in the README
…t when the dimensions of the matrices don't match. Also added tests for them.
Adding mnist example live on air
Added error handling for elementwise functions
Alter how mnist files are loaded
User Input needs to be normalized
Updated p5.js to v0.6.0, removed unused sound lib and deleted local libs
Update README.md
…lass Manage activation function as a class
Added links to the mentioned pull requests in README
Made build badge clickable
Added link to pull request 61
Dear Diary, I spent the day recording a set of video tutorials about how to do image classification with a simple "toy" neural network. There are lots of problems with this and the goal is purely educational and to have some fun. I hope to improve this example in the future. It could use an intrface and some animations, the softmax function, and working with a larger dataset and ml5/deeplearn.js. yours forever, The Coding Train (choo choo)
nothing to see here yet!
This here is the start of code I need for my neuro-evolution examples. So far I have only implemented "copy()" and "mutate()" ok! I still need to do "crossover()" and implement the GA itself of course. For reference the live stream is here: https://www.youtube.com/watch?v=ASnCXW6pPSY
This adds a test for the `Matrix.copy()` function.
Add Matrix copy() test
Create a README in the xor example
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I'm guessing you might've accidentally done a pull request to the wrong branch of the repository. I can fix it to point to master
if you can't find the right option. I think you can fix it if you edit your initial post or post title.
We can probably add this with those changes, but I think it would be even cooler to add your other example in its own folder instead of changing this one.
examples/xor/sketch.js
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let training_data = [{ | |||
et training_data = [{ |
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It looks like you accidentally deleted the 'l' off of "let" right here.
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probably, I will fix this... thank you!
Rainbow!
I changed the colorMode to HSB and the fill arguents
to work with, so it looks more like:
In setup:
And draw: