Getting familiar with torch tensors

Two days ago, I introduced torch, an R package that provides the native functionality that is brought to Python users by PyTorch. In that post, I assumed basic familiarity with TensorFlow/Keras. Consequently, I portrayed torch in a way I figured would be helpful to someone who “grew up” with … Continue reading

Easy PixelCNN with tfprobability

PixelCNN is a deep learning architecture - or bundle of architectures - designed to generate highly realistic-looking images. To use it, no reverse-engineering of arXiv papers or search for reference implementations is required: TensorFlow Probability and its R wrapper, tfprobability, now include a … Continue reading