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J.J. Allaire

Posts and resources by J.J. Allaire#

Quarto Extensions

Quarto Extensions are a powerful way to modify or extend the behavior of Quarto, and can be created and distributed by anyone. Extension types include filters, shortcodes, and custom formats

GPU Workstations in the Cloud with Paperspace

If you don't have local access to a modern NVIDIA GPU, your best bet is typically to run GPU intensive training jobs in the cloud. Paperspace is a cloud service that provides access to a fully preconfigured Ubuntu 16.04 desktop environment equipped with a GPU

R Interface to Google CloudML

We are excited to announce the availability of the cloudml package, which provides an R interface to Google Cloud Machine Learning Engine. CloudML provides a number of services including on-demand access to training on GPUs and hyperparameter tuning to optimize key attributes of model architectures

J.J. Allaire

Jan 10, 2018

Cloud Packages/Releases

blog post

Time Series Forecasting with Recurrent Neural Networks

Time Series Forecasting with Recurrent Neural Networks

In this post, we'll review three advanced techniques for improving the performance and generalization power of recurrent neural networks. We'll demonstrate all three concepts on a temperature-forecasting problem, where you have access to a time series of data points coming from sensors installed on the roof of a building

François Chollet, J.J. Allaire

Dec 20, 2017

TensorFlow/Keras Time Series

blog post

Image Classification on Small Datasets with Keras

Image Classification on Small Datasets with Keras

Having to train an image-classification model using very little data is a common situation, in this article we review three techniques for tackling this problem including feature extraction and fine tuning from a pretrained network

François Chollet, J.J. Allaire

Dec 14, 2017

TensorFlow/Keras Image Recognition & Image Processing

blog post

Deep Learning for Text Classification with Keras

Deep Learning for Text Classification with Keras

Two-class classification, or binary classification, may be the most widely applied kind of machine-learning problem. In this excerpt from the book Deep Learning with R, you'll learn to classify movie reviews as positive or negative, based on the text content of the reviews

François Chollet, J.J. Allaire

Dec 7, 2017

TensorFlow/Keras Natural Language Processing

blog post

tfruns: Tools for TensorFlow Training Runs

tfruns: Tools for TensorFlow Training Runs

The tfruns package provides a suite of tools for tracking, visualizing, and managing TensorFlow training runs and experiments from R

TensorFlow v1.3 Released

The final release of TensorFlow v1.3 is now available. This release marks the initial availability of several canned estimators including DNNClassifier and DNNRegressor

J.J. Allaire

Aug 17, 2017

Packages/Releases