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DeepLearning

GAN featured image
DeepLearning

Various types of GANs ,Evaluation Metrics of GANs

Issues in Training: Generator Diminished Gradient: Discriminator gets too successful that the generator gradient vanishes and learns nothing. As seen earlier the training of a GAN is typically alternating between Gradient Ascent on Discriminator and Gradient Descent on Generator. But optimizing GD on generator doesn’t work well. Consider the above Read more…

By Sowmya Vasuki, 4 yearsJuly 24, 2019 ago
DeepLearning

Face Recognition and Neural Style Transfer in Deep Learning

Face Recognition: Before looking into what face recognition is and how it works, let us understand the difference between face recognition and face verification. Face Verification checks “is this the claimed person?”. For example, in school, you go with your ID card and the invigilator verifies your face with the ID Read more…

By Sowmya Vasuki, 4 yearsJuly 17, 2019 ago
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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