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Image Recognition & Classification with Keras in R | TensorFlow for Machine Intelligence by Google

Provides steps for applying Image classification & recognition with easy to follow example.
R file: https://goo.gl/fCYm19
Data: https://goo.gl/To15db
Machine Learning videos: https://goo.gl/WHHqWP
To install EBimage package, you can run following 2 lines;
install.packages(“BiocManager”)
BiocManager::install(“EBImage”)
Uses TensorFlow (by Google) as backend. Includes,
– load keras and EBImage packages
– read images
– explore images and image data
– resize and reshape images
– one hot encoding
– sequential model
– compile model
– fit model
– evaluate model
– prediction
– confusion matrix

Image Classification & Recognition with Keras is an important tool related to analyzing big data or working in data science field.

R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.