Currently it costs in the USA ~ $684/mo to drive 1000 miles with FSD subscription, insurance and energy costs. This works out to $0.684(0.69)/mile. How odd. Most cars sit around doing not that much, most of the time. As you decrease the number $684, you broaden the available market. Even starting with a couple buying […]
Blog Posts
Gimp’s default screen grab
This is totally useless. It immediately takes a picture of the window. Which is Gimp. The “Select a region to grab” option would be a better default.
Notes for – Building makemore Part 2: MLP
Attempting to scale normalized probability counts grows exponentially You can use Multi Layer Perceptrons (MLPs) as a solution to maximize the log-likelihood of the training data. MLPs let you make predictions by embedding words close togehter in a space such that knowledge transfer of interchangability can occur with good confidence. With a vocabulary of 17000 […]
Notes for — The spelled-out intro to language modeling: building makemore
Derived from: https://github.com/karpathy/nn-zero-to-hero/blob/master/lectures/makemore/makemore_part1_bigrams.ipynb Makemore Purpose: to make more of examples you give it. Ie: names training makemore on names will make unique sounding names this dataset will be used to train a character level language model modelling sequence of characters and able to predict next character in a sequence makemore implements a services of language […]
Notes for – The spelled-out intro to neural networks and backpropagation: building micrograd
Summary of above: Backpropagation is just a recursive application of chain rule backward through the graph storing the computed derivative as a gradient (grad) variable within each node. Gotcha! We must be careful that when adding multiple of the same term we correctly derive wrt all terms instead of just a single term! Ie: b […]
How ML (machine learning) Works
If you are here, you are probably wasting your time. Below is a summary of notes I have taken for working through this: I defer you to that resource because Andrej is my mentor wrt ML. If you want to know my specific thoughts and things that I have learned from his “Building makemore” class, […]
Machine Learning Ideas
Create a neural net that weighs price difference % $TSLA for the past 1, 2, 3, 4, 5, 10, 15, 30, 60, 90 and 180 days. Starting with a binomial, you can create a data set that looks at the % change between yesterday and today. Just like makemore will make name predictions, the predictions […]