Introduction to TensorFlow in Perl

TensorFlow is an open-source machine learning library developed by Google that is widely used for building and training neural networks. In this article, we will introduce you to how you can use TensorFlow in Perl for machine learning applications.

Authors: William N. Braswell Jr & Zaki Mughal

William N. Braswell Jr and Zaki Mughal are experts in the field of machine learning and have extensive experience working with TensorFlow in Perl. They will be presenting their insights at TPRC 2023, a premier conference for researchers and practitioners in the fields of telecommunications, media, and internet policy.

What is TensorFlow?

TensorFlow is a powerful and flexible library for numerical computation and machine learning. It provides a comprehensive ecosystem of tools, libraries, and community resources that allow researchers and developers to easily build and deploy machine learning models.

Using TensorFlow in Perl

While TensorFlow is primarily written in Python and supports other languages like C++ and Java, you can also use it in Perl through the Tensorflow::Tensor and Tensorflow::TensorLike packages. These packages provide Perl wrappers around the TensorFlow C library, allowing you to access the full range of TensorFlow functionalities in your Perl code.

TPRC 2023 Presentation

If you are interested in learning more about using TensorFlow in Perl, be sure to attend the presentation by William N. Braswell Jr and Zaki Mughal at TPRC 2023. They will be discussing best practices, tips, and tricks for leveraging TensorFlow in Perl for your machine learning projects.

Overall, TensorFlow is a valuable tool for machine learning practitioners, and with the support for Perl, you can easily incorporate TensorFlow into your existing Perl workflows. Stay tuned for more updates on TensorFlow and Perl integration from William N. Braswell Jr and Zaki Mughal!