These tutorials introduce a few fundamental concepts in deep learning and how to implement them in R using MXNet.
.. toctree:: :maxdepth: 1 ndarray symbol fiveMinutesNeuralNetwork classifyRealImageWithPretrainedModel mnistCompetition CatsDogsFinetune CharRnnModel CallbackFunction CustomIterator CustomLossFunction
More tutorials and examples are available in the GitHub repository.