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MATHEMATICAL ENGINEERING OF DEEP LEARNING - PART ONE FOUNDATIONS

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MATHEMATICAL ENGINEERING OF DEEP LEARNING - PART ONE FOUNDATIONS

Material

R user

Please make sure that you have recent R and RStudio installed.

R Packages

  • IMPORTANT R PACKAGES TO BE INSTALLED
install.packages("keras")
install.packages("tensorflow")
  • R packages to be installed before workshop
install.packages("dplyr")
install.packages("ROCR")
install.packages("caret")
install.packages("ROCit")
install.packages("MASS")
install.packages("glmnet")
install.packages("tidyverse")
install.packages("ggplot2")
install.packages("ggpubr")
install.packages("animation")
install.packages("mvtnorm")
install.packages("jpeg")
install.packages("ruta")
install.packages("rARPACK")
install.packages("FactoMineR")
install.packages("keras")
install.packages("IMIFA")
install.packages("nnet")
install.packages("ggbubr")

Data file to download from DATA folder

  • Breast_cancer.RData
  • jena_climate_2009_2016.csv.zip

Python user

We use google collab to share code:

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MATHEMATICAL ENGINEERING OF DEEP LEARNING - PART ONE FOUNDATIONS

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