Deep Learning in R - part II

With the release of the R Keras package (https://keras.rstudio.com/) (by JJ Allaire and Francois Chollet) at the end of 2017 / beginning 2018 the topic of artificial neural networks and especially deep learning in R became red-hot within the R community.

„Deep Learning in R” will be a series of workshops during which you will learn how to use Keras/Tensorflow to solve different deep learning problems using Feedforward, Convolutional, and Recurrent Neural Networks. During workshops we will go through problems like image classification, object localization/detection, image segmentation, dimensionality reduction, time series forecasting, various NLP tasks and more. We will also talk about interpretability of Machine/Deep Learning models using LIME and DALEX packages.

In our second workshop we will talk about Stochastic Gradient Descent, Backpropagation and implement MLP .

After workshop we will have some pizza and drinks :)

Requirements:

Knowledge from first meeting: https://www.meetup.com/Trojmiejska-Grupa-Entuzjastow-R/events/267136487/

During workshops unfortunately there will be no internet connection so participants have to download scripts and datasets before meeting: https://github.com/maju116/trigeR_deep_learning_with_keras_in_R