Matrix Library in C for Neural Networks

Matrix Library in C for Neural Networks 1.0

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Paul Lopez

Paul Lopez

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Paul Lopez submitted a new resource:

Matrix Library in C for Neural Networks - Matrix Library for Neural Network development

Matrix and linear algebra libraries are an essential tool designed for developers looking to harness the power of high-performance matrix operations within their C applications. Ideal for neural network development, this library provides a suite of functions that support not only basic matrix creation and manipulation but also more complex operations crucial for deep learning algorithms. Whether you're implementing backpropagation algorithms or manipulating large data sets for training, the...
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Daniel Duffy said:
Just curious, what's the rationale for a C library? Libraries like Eigen are C++.
Of course, Python has lots of useful stuff.

Linear Algebra (scipy.linalg) — SciPy v1.14.1 Manual

docs.scipy.org docs.scipy.org
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I missed this! We had an existing C codebase and were porting some legacy Java code on top of that. Management decided to keep pure C. I am most certainly pushing them to at the very least let us use C++. :)

Python will be used by the folks that want to play with the pybind. I set up quite a few folks with it, and now it's just a matter of them testing out the library in jupyter notebooks or whatever they want to do.
 
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