friendly

#' Wavelength to RGB
#'
#' This function converts a given wavelength of light to an 
#' approximate RGB color value. 
#'
#' @param wavelength A wavelength value, in nanometers, in the human visual range from 380 nm through 750 nm.
#'        These correspond to frequencies in the range from 789 THz through 400 THz.
#' @param gamma The \eqn{\gamma} correction for a given display device. The linear RGB values will require
#'        gamma correction if the display device has nonlinear response.
#' @return a color string, corresponding to the result of \code{\link[grDevices]{rgb}} on the

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats