Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
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Updated
Jun 2, 2026 - R
Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
Automatic Korean word spacing with R
Package: R Interface to AutoKeras
Code from the book "Deep Learning with R"
🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)
Deep learning for mlr3
R interface to Keras Tuner
R interface to TensorFlow 2.x SIG-Addons
R package for deep learning image segmentation
A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
An example Keras pipeline with the targets R package
R interface to Spark TensorFlow Connector
A showcase based on the tutorial presented at ML@Enterprise Forum 2018 in Warsaw.
Portfolio in R
A bridge between the keras and tidymodels frameworks
Partially-Interpretable Neural Networks for Extreme Value modelling
Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures
Created by François Chollet
Released March 27, 2015