AI

Implementing rotation equivariance: Group-equivariant C...

We code up a simple group-equivariant convolutional neural network (GCNN) that i...

Upside down, a cat's still a cat: Evolving image recogn...

In this first in a series of posts on group-equivariant convolutional neural net...

AO, NAO, ENSO: A wavelet analysis example

El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Arcti...

Wavelet Transform - with torch

torch does not have built-in functionality to do wavelet analysis. But we can ef...

torch 0.9.0

torch v0.9.0 is now on CRAN. This version adds support for ARM systems running m...

Discrete Fourier Transform - with torch

About the Fourier Transform, it has been said that it is one of the greatest won...

Five ways to do least squares (with torch)

Get to know torch's linalg module, all while learning about different ways to do...

Audio classification with torch

Learn how to classify speech utterances with torch, making use of domain knowled...

Introducing the text package

The text package attempts to provide user-friendly access and pipelines to Huggi...

luz 0.3.0

luz version 0.3.0 is now on CRAN. luz is a high-level interface for torch.

TensorFlow and Keras 2.9

New TensorFlow and Keras releases bring improvements big and small.

Deep Learning with R, 2nd Edition

Announcing the release of "Deep Learning with R, 2nd Edition," a book that shows...

Community spotlight: Fun with torchopt

Today, we want to call attention to a highly useful package in the torch ecosyst...

torch outside the box

Sometimes, a software's best feature is the one you've added yourself. This post...

Pre-processing layers in keras: What they are and how t...

For keras, the last two releases have brought important new functionality, in te...

Revisiting Keras for R

It's been a while since this blog featured content about Keras for R, so you mig...

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