Machine Learning Metallurgi – Assume atoms are functions. Then you could train the iron atoms with coal in an add and removal procedure. Add a large amount of coal then remove it. Assume some function still remain. // Per

Machine Learning Idea – Hyper Convolutional Layers. Train a model with ridiculus high settings on conv2D then use it as augmented label data for a bypass lower grade convolution after some middle layers. Wow HyperConvolution // Per
Made a conversion model with 300 hidden size and convolution as augmented third layer label data. Wow 99.04% on MNIST with only fc layers. World record? // Per Lindholm
ovid19 Idea – Decision tree learning for cooking a treatment. Boil in several pots. Measure. Mix portions % of each. Decision tree cooking. Create a machine learning robot cooker for this 100+ pots. // Per #COVID19
Machine Learning Thinking Math – When solving a math problem with an optimizer. That is. With a machine learning model function. You can create a thinking process inbetween the sample feed. Could perhaps give insight into numerical problem solving. // Per
Here thinking means have another model2() with X2 and yt2 as output for the main model(…). Like a simulation where the input and output is unknown but adapted to overal problem loss function.