Python isn't the only option for programming machine learning applications: there’s a growing group of developers who use JavaScript to run machine learning models.

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns. Here are ...

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps ...

This is the code repository for Deep Learning Projects with JavaScript [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start ...

Colm O'Regan explores a branch of "machine learning", used to develop artificial intelligence.

The framework enables developers to build, train, and deploy machine learning models entirely in JavaScript, supporting everything from basic neural networks to complex deep learning architectures.

The method is compared with deep learning methods and mainstream machine learning methods, and the results show that the method has a high accuracy and low false alarm rate. Published in: 2023 IEEE ...

Deep learning has also benefited from the company’s method of splitting computing tasks among many machines so they can be done much more quickly. That’s a technology Dean helped develop ...

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more - apache/mxnet ...