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
Apr 9, 2024 - 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, 2nd Edition"
🍱 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.
R interface to Spark TensorFlow Connector
A showcase based on the tutorial presented at ML@Enterprise Forum 2018 in Warsaw.
An example Keras pipeline with the targets R package
Portfolio in R
Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures
An R-package to estimate average causal effects with AIPW using Deep Neural Networks, in particular Convolutional NN.
Partially-Interpretable Neural Networks for Extreme Value modelling
Created by François Chollet
Released March 27, 2015