Introducing version 0.2 of JetBrains deep learning library, KotlinDL
KotlinDL 0.2 version (high-level deep learning library on Kotlin from JetBrains) is here: with new layers and Functional API that makes it possible for you to build and train models such as ResNet or MobileNet
Also, a special Kotlin-idiomatic DSL for image preprocessing is included (you could rotate, shrink, resize images).
If you are ready to contribute, there are ~ 20 new tickets with labels “good first issue,” “good second issue.” https://github.com/JetBrains/KotlinDL/issues
If you have any feature requests, feel free to create an issue or rise a question in the Discussion chapter.
KotlinDL is built on top of the TensorFlow Java API and has an API close to Keras and other high-level frameworks like Sonnet, PyTorch Lighting, and Catalyst.
Give a star on Github to KotlinDL if you support this project, run tutorials, taste the Kotlin with Deep Learning!