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Machine Learning Insight Idea – Internally model() Initiated For Loops? For when there is no iteration-path and you have to use a little brute force.

February 9, 2019 Per Lindholm

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Previous PostMachine Learning Insight – Super Duper Calculations – y , sane = Classification(Regression(X)) , sane(y)Next PostMachine Learning 0..1 Math – Finding new functions? Math Universe needs to Split the first largest areas of Sum(every function the x = 0..1 window). Indication of a new function. Fill in the holes in the 0..1 window and you get something like a fractal. Conjectory – All functions applied to the window x = 0..1 makes up a fractal.

Ideas Are Free To Use As Long As You Give Me Credit

By Far The Smartest Idea - Hot Milk With Cooked Rice In A Cup

If free will can be recognized in the machine learning sense then it could probably also be optimized with max as the target. // Per Lindholm

Is a proof some knowledge of the probability of the network.

The Universe Is A Compression Decompression Model() // Per Lindholm 2018

Peace Idea - Any Type Of Probability Can Move Us Forward. Peace Will Do It 100% // Per Lindholm 2018

:wow

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Machine Learning Guess – As a possibility you can wait for some of equations in the system. Why solve all at the same time. Could produce more complex paths otherwise. Here I waited for y1-y2 -> 0
Machine Learning Innovation Idea – Generalisation by same language model0(). y1 = model1(model0(X1)), y2 = model2(model0(X2)),y3 = model3(model0(X3)),… Where X1 = MNIST sample and X2 = Cifar10 sample And X3 = something else in image format. Image showing most linear recognition //Per
Towards a Machine Learning Super Battery – Are different laser printed hole patterns different in their ion properties like capacity and transport? Laser aided CD printed like battery// Per
Machine Learning Innovation – Air Condition Device – If There is a need of a compressor. I wonder if you can alter the surface function with a cylinder. Or better yet use a peltier element connected to the front end of the piston. So it cools the hot gas. //Per
Blender 3D Innovation Idea – What if you take three render models() and iterate until you have enough intersecting pixel color values. Could this set be the inital value basis of a differential equation that solves the overall image with super high resolution? Venn Diagram Usage
Towards A Super Battery – Inspired by ?saltpaper. Could sandpaper or paper with crystals be a no brainer thing of a super battery?
Machine Learning Physics Idea – Predicting simulated turbulence with a w = model(rnge()).
Machine Learning Math Idea – choice_division(a,b). Where you get a rest that moves between the even parts. Dynamic object?
Machine Learning Physics – My most important tweet ever. Small fusion so that we have time and money to get the data samples. Million+?
Machine Learning Complex Math – Doing some complex root finding with machine learning model() and chainer framework. y**2 = 1+1j gives y = 1.0986842+0.45508987j wow
Machine Learning Physics – Force Or Acceleration Which Comes First. ( ? ) * F = m * a * ( ? ). My answer is that both are something else at the very start and that ( ? ) iterates fast to 1. // Per Lindholm 2019
Ultra Intelligent Way To Learn – First Read a little Bit Then Innovate By Guessing a Next Little Step. Read the next little Bit and guessinnovate the next. Keep doing so and you will be able to innovate forever.
Machine Learning 0..1 Math – Finding new functions? Math Universe needs to Split the first largest areas of Sum(every function the x = 0..1 window). Indication of a new function. Fill in the holes in the 0..1 window and you get something like a fractal. Conjectory – All functions applied to the window x = 0..1 makes up a fractal.
Machine Learning Insight Idea – Internally model() Initiated For Loops? For when there is no iteration-path and you have to use a little brute force.
Machine Learning Insight – Super Duper Calculations – y , sane = Classification(Regression(X)) , sane(y)

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