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.

東京大学松尾・岩澤研究室（松尾研）は、開講を予定しているオンライン講座「Deep Learning基礎講座 Autumn」の受講申込受付を8月1日より実施して ...

Deep learning, AI and neural networks are challenging new concepts, but an intensive short course from ICHEC aims to plug the knowledge gap.

Deeplearn.js joins other projects that bring machine learning to JavaScript and the browser, including TensorFire, which allows execution of neural networks within a webpage, and ML.js, which ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

The idea is to allow any company to deploy a deep-learning model without the need for specialized hardware. It would not only lower the costs of deep learning but also make AI more widely accessible.