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DeepLearning.scala

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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.

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