KotlinDL 0.2: Deep learning framework for JVM progresses • DEVCLASS

JetBrains has released KotlinDL 0.2, an update for the deep learning framework it is creating using Kotlin, adding capabilities such as a Functional API for Keras models, support for new layers, and a Model Zoo. KotlinDL is a high-level deep learning framework that JetBrains is developing to make it easier to build and deploy deep learning models in JVM production environments. The first preview was released in December, and the 0.2 release shows how much progress has been made so far. New featuresAdvertisementStarting with this 0.2 release, KotlinDL comes with a Model Zoo, a collection of convolutional networks that are supplied already trained against a large image dataset known as ImageNet. KotlinDL 0.2 also introduces a domain-specific language (DSL) that implements image pre-processing operations such as crop, resize, rotate and rescale.