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One solution to improve the speed spend in the process of deep learning is using multi-processor threads (process parallelization)... and YES. PHP can do it!!!!
With php, parallelization is possible, then i will have new code soon for the class with parallelization feature. This code will need to be executed on linux servers and CLI environtment, but the code for execute learned models will be remain standar for execute it on any type of standard server as a basic web server with PHP installation, for example (CLI, cgi, windows, linux, web server on shared hosting, ....).
The text was updated successfully, but these errors were encountered:
One solution to improve the speed spend in the process of deep learning is using multi-processor threads (process parallelization)... and YES. PHP can do it!!!!
With php, parallelization is possible, then i will have new code soon for the class with parallelization feature. This code will need to be executed on linux servers and CLI environtment, but the code for execute learned models will be remain standar for execute it on any type of standard server as a basic web server with PHP installation, for example (CLI, cgi, windows, linux, web server on shared hosting, ....).
The text was updated successfully, but these errors were encountered: