menu

The information in our interactive Radar is currently only available in English. To get information in your native language, please download the PDF here.

Languages & Frameworks

DeepLearning.scala

ARCHIVED BLIP
Please be aware that we have archived this blip and are no longer actively keeping the information updated. The current edition of the radar only features items that we feel are new or noteworthy.Understand more
ASSESS?

DeepLearning.scala is an open source deep-learning toolkit in Scala created by our colleagues at ThoughtWorks. We're excited about this project because it uses differentiable functional programming to create and compose neural networks; a developer simply writes code in Scala with static typing. DeepLearning.scala currently supports basic types such as float, double, GPU-accelerated N-dimensional arrays as well as algebraic data types. We're looking forward to future releases of the toolkit which are said to support higher order functions and distributed training on Spark.

History for DeepLearning.scala

Mar 2017
Assess?

DeepLearning.scala is an open source deep-learning toolkit in Scala created by our colleagues at ThoughtWorks. We're excited about this project because it uses differentiable functional programming to create and compose neural networks; a developer simply writes code in Scala with static typing. DeepLearning.scala currently supports basic types such as float, double, GPU-accelerated N-dimensional arrays as well as algebraic data types. We're looking forward to future releases of the toolkit which are said to support higher order functions and distributed training on Spark.