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Neural networks library for machine learning on PHP

Home Page: https://rindow.github.io/neuralnetworks

License: BSD 3-Clause "New" or "Revised" License

PHP 100.00%
neural-network php machine-learning deep-learning dnn cnn rnn recurrent-neural-networks convolutional-neural-networks ml opencl gpgpu gpu php8 openblas

rindow-neuralnetworks's Issues

What are the algorithms used by Google and Bing in artificial intelligence to provide a SHORT and EXACT answer ?

Hello.

I hope you're doing well.

Please, can you give us the name of each of the Machine and Deep Learning algorithms that can help us provide the most accurate and intelligent possible result exactly like Google does.
For example, when we ask Google: "Who is the President of the United States", Google returns the exact name of the current President of the USA who is: "Joe Biden".

So, what Artificial Intelligence Algorithms can solve each of this kind of problem exactly like search engines do ???

Does this kind of algorithm exist in "Rindow Neural Networks" ???

Thanks to answer please.

How to implement this type of "Transformer" machine learning model with the "rindow-neuralnetworks" Package ???

Hi.

Please, we don't see in the documentation of rindow/rindow-neuralnetworks, the implementation of the Transformer machine learning model ( https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) ).

So how to implement this type of Transformer machine learning model in PHP with the rindow/rindow-neuralnetworks Package ???

Thank you for directing us or giving us the link of the documentation that explains it.
Awaiting your reply.

Installer without Composer

There are still people who do not use composer, or whose shared hosting service does not allow shell commands.
It would be nice to be able to download the project as a folder ready to upload to the server.
Your project is the most complete and the only one that implements a translator (wow!!!).
I have looked at the competition, Ruby, PHP-ML, etc. And this is definitely the most complete project.
Ah beautiful times when include_once() worked!!

Loading different model formats

I'm not too familiar with the model loading process but is it possible to use this library to load in different model formats (like h5) other than the provided .model extension?

P.S. amazing work on this project. It's been an incredibly useful tool for my organization.

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