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Machine Learning with Swift
book

Machine Learning with Swift

by Alexander Sosnovshchenko
February 2018
Intermediate to advanced
378 pages
10h 14m
English
Packt Publishing
Content preview from Machine Learning with Swift

Loading the data

As usual, first we add some magic to display images inline in the Jupyter:

%matplotlib inline 

We're using Pandas to handle our data:

import pandas 

Please, visit the Kaggle site and download the dataset: https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

Load the dataset into the memory:

data = pandas.read_csv("fer2013/fer2013.csv") 

Dataset consists of gray scale face photos encoded as pixel intensities. 48 x 48 gives 2304 pixels for each. Every image is marked according to the emotion on the face.

data.head() emotion pixels Usage 0 0 70 80 82 72 58 58 60 63 54 58 60 48 89 115 121... Training 1 0 151 150 147 155 148 133 111 140 170 174 182 15... Training 2 2 231 212 156 ...
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Publisher Resources

ISBN: 9781787121515