The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …
time
random-forest
tensorflow
numpy
linear-regression
model-selection
neural-networks
pca
svm-classifier
knn-classification
face-classifier
sklearn-estimator
sklearn-tensorflow-ml
matplotlib-pyplot
logist
one-hot-encoding
olivitti-faces-dataset
sklearn-decomposition
sklearn-accuracy
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Updated
Nov 26, 2019 - Jupyter Notebook