Realtime Machine Learning with PyTorch and Filestack (YC Summer 2012)
This post details how to harness machine learning to build a simple autoencoder with PyTorch and Filestack, using realtime user input and perceptual loss. (more…)
Read more »This monograph aims at providing an introduction to key concepts, algorithms,
and theoretical results in machine learning. The treatment concentrates on
probabilistic models for supervised and unsupervised learning problems. It
introduces fundamental conc… Read more