Hello again, lets continue C++ roadmap. ChatGPT Hello again! Of course, I’d be happy to continue with the C++ roadmap. Let’s pick up where we left off. If you have any specific topics or questions you’d like to discuss, please let me know, and I’ll be glad to assist you. OK, I came up withContinue reading “Continuing gradient_descent with ChatGPT”
Author Archives: Nicholas Komsa
About C++ Programming, with ChatGPT.
Hello, if I asked you to teach me C++ from A to Z, how would you proceed? ChatGPT: Sure, I’d be glad to help you learn C++! Learning a programming language like C++ is a multi-step process that involves understanding the basics of the language, practicing coding, and building projects to apply your skills. Here’sContinue reading “About C++ Programming, with ChatGPT.”
How std::span changes C++ fundamentally
In C++, we have all sorts of std containers, such as vector. Normally, when we work with vectors, we also pass them around by reference, and vectors of course own their data in a contiguous way. When a vector is passed to a function, we pass it by reference: In C++20, there is a newContinue reading “How std::span changes C++ fundamentally”
Software development and sneaky algorithms
So I have been engineering my own neural network technology for some time, and I’ve been running tests and experiments sometimes. What I have discovered about backrpopagation, is that, when there are errors in backpropagation algorithm, they may not break backpropagation completely. It can work in partial completeness or with some amount of errors, toContinue reading “Software development and sneaky algorithms”
The smallest xor network and lottery ticket
I am creating networks that are: two input nodes, x*y hidden nodes, and one output node. The ability to create these networks has to do with some odds which are based on the initial state of the starting network pool. I have a pool of 2000 networks which are randomly generated, and I try toContinue reading “The smallest xor network and lottery ticket”
C++ comma operator and parallelization
I have never had a reason to use the comma operator, however, writing some modern code, it seems required. Say you have some series of variables and you want to perform a common operation on the group. New C++ is always a fun thing, I know. We could change this to be a generic functionContinue reading “C++ comma operator and parallelization”
Errors and Progress in mnist recognition
So, in my earlier post, I said I had a “convergent mnist network”. At the time I was excited and I wrote that in haste. What that network had been doing, it had been trained on null and digits, but only one image for each of these digit was actually ever trained into the network.Continue reading “Errors and Progress in mnist recognition”
Non-Convolutional Image Recognition
I have had some difficulty determining numbers for training times for mnist, so I am going to post some of mine, and also discuss what my network is doing. So far in my work on mnist, I have generated a convergent network. Using cpu only, ryzen 7 1700, I train a convergent network in underContinue reading “Non-Convolutional Image Recognition”
Code Simplicity of binary files and C++ wonder
There is a lot of code online about reading MNIST dataset, and I have produced my own version, which uses my Binary/Reader classes talked about in a previous post. So, you could be thinking, Binary Image file stuffs with C++, oh, no! I have seen some of the parsers easily obtainable online, written in C++,Continue reading “Code Simplicity of binary files and C++ wonder”
Movement to OpenCl++
In my project, I have been thinking about something, data-oriented-design, quite a lot during the creation of new code. I’m going to present some of these concepts in current implementation and then describe moving to a specifically DOD language, opencl++. Moving into OpenCl++ seems like a natural extention of DOD C++ I use. So, inContinue reading “Movement to OpenCl++”
Spot C++ 