August 2017
Intermediate to advanced
288 pages
8h 6m
English
Content preview from R Deep Learning Cookbook
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How to do it...
The current part of the recipe will provide a step-by-step guide to prepare the dataset for the Inception-BN pretrained model.
- Load the dependent packages:
# Load packages
require(imager)
source("download_cifar_data.R")
The download_cifar_data consists of function to download and read CIFAR10 dataset.
- Read the downloaded CIFAR-10 dataset:
# Read Dataset and labels
DATA_PATH<-paste(SOURCE_PATH, "/Chapter 4/data/cifar-10-batches-bin/", sep="")
labels <- read.table(paste(DATA_PATH, "batches.meta.txt", sep=""))
cifar_train <- read.cifar.data(filenames = c("data_batch_1.bin","data_batch_2.bin","data_batch_3.bin","data_batch_4.bin"))
- Filter the dataset for aeroplane and automobile. This is an optional step and is done to ...