Both Activation Functions and Disney Princesses are super derivative. Why not imagine all the classic AFs as DPs?!?
Tag Archives: Machine-Learning
Dozens of Image Servers Destroyed in Artist Labor Solidarity
Artists destroy image servers to save their jobs from Open AI’s DALL-E trained neural network which creates artwork from a text prompt.
Using GPT-2 To Optimize Twitter Bots for Maximum Virtue Signaling
In this paper, we developed a twitter bot using GPT-2 to optimize virtue signaling for a progressive target demographic.
Clash at Machine Learning Conference Leaves Dozens Wounded
Late last night at a machine learning conference in Chicago IL, a civilized argument grew into a violent riot over two software libraries. Due to inexperienced organizers scheduling lectures and round panels, the TensorFlow and Scikit-learn library development panels were not only scheduled at the same time but in adjacent lecture rooms. According to surveysContinue reading “Clash at Machine Learning Conference Leaves Dozens Wounded”
Tracking International Terrorism with Mycorrhizal Networks
Common Mycorrhizal Networks are being used to spread radical religious ideology. This paper shows how we tracked it and decoded the tree language.
Novel Techniques for Hijacking Self-Driving Cars
This paper outlines methods to hijack and trap self driving cars by exploiting their safety sensors and Cheetah brain algorithm.
There Can be No True Scottish Speech Recognition System
A speech recognition system is designed to interface with the Scottish. The design fails because the accent appears to be mathematically non-convergent.
