It is time to start applying quantum computing to machine learning: quantum machine learning.
Tag: neural networks
Rethinking Neural Networks
I found this fascinating article about how our brains work; it would seem to have ramifications for the structure of neural networks.
Ensembles of Neural Networks
Ensembles allow NNs to work together to ouput a single, better prediction than any individual NN could generate on its own.
Quantum Variational Circuits
A neural network on a classical system is trained to calibrate a quantum system so that that system can then perform quantum calculations.
Multitasking
I seem to have overwhelmed myself. Artificial Intelligence is so interesting that I have branched off into a myriad of side projects.
Neuroscience
In trying to build a better neural network, I have begun studying neuroscience.
Collaboration on Predicting Sequences
I have been contacted by a university student who is also trying to solve sequences programmatically.
Hardware and Assembly Language
In a nutshell, my new goal is to build a robot with circuitry that I soldered and Assembly (ASM) code that I wrote.
GitHub
I have finally created a GitHub account. To start, I have added 6 repositories.
Scikit-Learn Sequence Predictor
My ultimate goal is to get the code to discover rules that I don’t know, so that it can then solve sequences that I can’t.