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deeplearning

GAN featured image
DeepLearning

what is Generative adversarial network (GAN)

GAN are Generative Adversarial networks. GANs are neural networks that generate synthetic data given certain input data. The main goal is unsupervised sampling from complex high dimensional distribution. And this is done by taking samples from random noise and learn the transformation to input distribution

By Sowmya Vasuki, 4 yearsJuly 6, 2019 ago
Face recognition
DeepLearning

DeepFace vs Facenet for face recognition

Introduction: Face Recognition problems can be broadly classified into two categories ⦁ Face Verification: Identifying if the given face is of the claimed person ⦁ Face Recognition: Identifying different instances (of faces) of the claimed person Other type of problems includes Clustering (grouping similar faces together) Simple Techniques for face Read more…

By Sowmya Vasuki, 4 yearsJuly 1, 2019 ago

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