What Is Keras Core?
Table of Contents What Is Keras Core? Configuring Your Development Environment Let’s Talk about Keras! Going Beyond with Keras Core The Power of Ker…
Tag: Keras
Keras is a high-level neural networks API that serves as a user-friendly interface for building deep learning models, often backed by TensorFlow or Theano.
LLaMA in R with Keras and TensorFlow
Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras.
Pre-processing layers in keras: What they are and how to use them
For keras, the last two releases have brought important new functionality, in terms of both low-level infrastructure and workflow enhancements. This p…
Revisiting Keras for R
It's been a while since this blog featured content about Keras for R, so you might've thought that the project was dormant. It's not! In fact, Keras f…
Getting started with Keras from R – the 2020 edition
Looking for materials to get started with deep learning from R? This post presents useful tutorials, guides, and background documentation on the new T…
Adding uncertainty estimates to Keras models with tfprobability
As of today, there is no mainstream road to obtaining uncertainty estimates from neural networks. All that can be said is that, normally, approaches t…
Auto-Keras: Tuning-free deep learning from R
Sometimes in deep learning, architecture design and hyperparameter tuning pose substantial challenges. Using Auto-Keras, none of these is needed: We s…
Audio classification with Keras: Looking closer at the non-deep learning parts
Sometimes, deep learning is seen - and welcomed - as a way to avoid laborious preprocessing of data. However, there are cases where preprocessing of s…
More flexible models with TensorFlow eager execution and Keras
Advanced applications like generative adversarial networks, neural style transfer, and the attention mechanism ubiquitous in natural language processi…
