Made a water heated battery – Aluminum foil covering boiling water so it catches a yellow stain color. Checked the voltage to be 0.6V between booth the sides when plus was emerged in the hot water on the yellow side and above on the other. Solar heat?
Machine Learning General Truth – There should exist a truth structure common to all problems. Just because it will simplify a large universe. So when iterating a problem the ending result is a function like a*b+b*c = ans.The reason for the structure would be to get fast solutions
Machine Learning General Truth – There should exist a truth structure common to all problems. Just because it will simplify a large universe. So when iterating a problem the ending result is a function like a*b+b*c = ans.The reason for the structure would be to get fast solutions
Machine Learning Physics Guess – If pi is the truth in a simple rotation. What is the truth loss function for a 3 body systems? Could there exist teleportation of energy since the planet system can not be disturbed. // Per 1 reply 0 retweets 1 like
Machine Learning Physics Guess – If pi is the truth in a simple rotation. What is the truth loss function for a 3 body systems? Could there exist teleportation of energy since the planet system can not be disturbed. // Per
Machine Learning Physics Guess – Physical Energy is the X_train data to y_train labels. Meaning there is a one to one connection between energy and the energy target labels. So for low intensity heat energy the universe chooses only heating as the target. // Per Lindholm
Machine Learning Physics Guess – Could E = mc**2 be the accessible energy to rectify the ?maximum error. // Per Lindholm 2019-05-28
If there was an error you need energy.
Machine Learning Water Science Guess – Inspired by Schrödingers Cat. Our Solar System could have a mechanism to gain water. It did not come here by random. So you need a multibody system to teleport water to the system. Maybe the multi bodies does not be so large as planets. Per
Very Important – Climate Change Heat Mitigation With Railway transport of heat drawn from cities using heat pumps. // Per
Climate Change Innovation – Second Chance On Life – Run Wind Turbines Like A Slower Fan. Air that has stopped its motion heats up very quickly. Help the earth with a machine learned system of active Wind Turbines. Reduce temperature those very hot days without wind. // Per
Generate new ideas by finding something positive with your first or second guess. Its the first guesses that sets the direction. But the direction could be any that leads to a new idea. // Per Lindholm
Machine Learning Physics Air Conditioner Guess – Activate ?the water gravitation adaptation. Use a usb fan for indirect cooling. Mimics nature. Where animals need to sense where the ocean is? Extra cooling in that direction is my guess. Pretty good comfort feeling.Wipe with cloth
Machine Learning Insight – Why F.relu(x)? relu is like an if statement and if statements are found in programming code. This makes math similar in fashion to code. Code ?can do anything so you can make a crude self adapting model. // Per
Machine Learning Math – Whats the function that changes sign and still is its derivative? y = y’ and y = -y’. Gives me y = model() = adapt_choice( y’ , -y’)
Intelligence Idea – Throw out some words with some vauge understanding attached to it and make it into a game with others and use it as inspiration for some intelligent meaning.
Machine Learning Math – The Problem Number Line the number line rewritten as valleys and peaks. The valleys representing towards zero solutions for problems. // Per Lindholm
Machine Learning Guess – Probability based models learns to take decisions based on probability. For ?certainty models there is a need for a non general infinite probability model. Continous probability values? model = function = taylor series approximation. // Per
Something I will test. Taylor series approximation of the function near each x label.
Machine Learning 2019G Internet Idea – Measure the entropy breakdown ?pattern for light or ?radio waves. Use machine learning to classify the information associated with the transmission at the reciever end. // Per
Machine Learning Water Science Guess – What the best calculator for the job? One that flows where its suppose to. water = the moving calculator move(add(a,b)). // Per Lindholm 2019-05-23
Maybe this bird like set is a Memory Structure Variant Like a Normal Distribution?. Since the weight matrix needs to retain memory a perticular shape might help with that. // Per
Machine Learning Theory of Everything – Compression Decompression model with our compressed atom universe in middle. Noise free and under enourmous compression like venn diagram control. // Per Lindholm http://peroglyfer.se 2019-05-21
Food innovation – Try the set of possibilities. Fast Noodles + boiled water and later after 6 min add milk to cool it off and give it more flavor. // Per
Food innovation – Try the set of possibilities. Fast Noodles + boiled water and later after 6 min add milk to cool it off and give it more flavor. // Per
Machine Learning – Hot encoding is not statistically ?friendly. I think you need the target to be a double normal distribution. Around 0 and around 1. For this you can add yt = yt +m ; m = model2(X) and then with subtract m from the model(X_test) – m.
Machine Learning – Hot encoding is not statistically ?friendly. I think you need the target to be a double normal distribution. Around 0 and around 1. For this you can add yt = yt +m ; m = model2(X) and then with subtract m from the model(X_test) – m.
Important Machine Learning Human Thinking – Move the body while your thinking. Move your arms, talk loud etc. Why? Since every mass unit in the body wants to improve the loss value set by the brain. There for everything adapts to find the answer. // Per
Important Machine Learning Human Thinking – Move the body while your thinking. Move your arms, talk loud etc. Why? Since every mass unit in the body wants to improve the loss value set by the brain. There for everything adapts to find the answer. // Per
Machine Learning Guess – Could letting a layer act as incriment at the index i,j and multiply/add? with value for the next layer?
Machine Learning Guess – Could letting a layer act as incriment at the index i,j and multiply/add? with value for the next layer?
Guess – In machine learning math there is a connection between complex numbers and variation. So in F.sum(X) numbers. They to have variation in X. So there is a possibility for more variation in matrix multiplication other than F.sum() // Per
Guess – In machine learning math there is a connection between complex numbers and variation. So in F.sum(X) numbers. They to have variation in X. So there is a possibility for more variation in matrix multiplication other than F.sum() // Per