Blog for Coders

Face Recognition with TensorFlow 2.0
In this notebook, we will continue on our Face Recognition with SVM notebook and replicate the work has been done using the Google's TensorFlow 2.0 library. We will create a Convolutional Neural Network model for face recognition, train it on the same data we used earlier and test it against the test set. If you don't have a decent hardware, you can run this notebook inside the Google Colab.

There is a PDF file if you like to download the copy or click for the second example on face recognition (html).
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Face Recognition with SVM
Face recognition, or facial recognition, is one of the most common artificial intelligence and machine learning application across all sectors. The problem has been around for nearly half a century. We will cover the most basic face recognition application using support vector machines (SVM) of the scikit-learn (sklearn) library.

There is a PDF file if you like to download the copy or click for the face recognition example (html).
Download W3Schools Notebook example