Machine learning on image-like data can be many things: fun (dogs vs. cats), societally useful (medical imaging), or societally harmful (surveillance). In ...

We are happy to announce that the version 0.2.0 of torch just landed on CRAN. This release includes many bug fixes and some nice new features that we will ...

Highlights sparklyr and friends have been getting some important updates in the past few months, here are some highlights: spark_apply() now works on ...

Today, we continue our exploration of multi-step time-series forecasting with torch. This post is the third in a series. Initially, we covered basics of ...

Today, we continue our exploration of multi-step time-series forecasting with torch. This post is the third in a series. Initially, we covered basics of ...

So far, all torch use cases we’ve discussed here have been in deep learning. However, its automatic differentiation feature is useful in other areas. One ...

So far, all torch use cases we’ve discussed here have been in deep learning. However, its automatic differentiation feature is useful in other areas. One ...

… Before we start, my apologies to our Spanish-speaking readers … I had to make a choice between “haja” and “haya”, and in the end it was all up to a coin ...

In a sense, image segmentation is not that different from image classification. It’s just that instead of categorizing an image as a whole, segmentation ...

In a sense, image segmentation is not that different from image classification. It’s just that instead of categorizing an image as a whole, segmentation ...