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Active Learning on MNIST – Saving on Labeling

Active Learning on MNIST – Saving on Labeling

Active Learning is a semi-supervised technique that allows labeling less data by selecting the most important samples from the learning...
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Differentiable Programming – Inverse Graphics AutoEncoder

Differentiable Programming – Inverse Graphics AutoEncoder

DeepLearning classifier, LSTM, YOLO detector, Variational AutoEncoder, GAN – are these guys truly architectures in sense meta-programs or just wise...
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Automated NLP Without Much Effort

Automated NLP Without Much Effort

While building models for NLP on our own and from scratch, we were constantly communicating with our clients and asking...
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