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...
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...
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...