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  • Deep Learning for Time Series Forecasting: Predicting Sunspot Frequency with Keras

    Deep Learning for Time Series Forecasting: Predicting Sunspot Frequency with Keras

    Forecasting sunspots with deep learning In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun,...

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  • Simple audio classification with Keras

    Simple audio classification with Keras

    Introduction In this tutorial we will build a deep learning model to classify words. We will use tfdatasets to handle data IO and pre-processing, and Keras to build and train the model. We will...

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  • RStudio GPU Workstations in the Cloud with Paperspace

    RStudio GPU Workstations in the Cloud with Paperspace

    We are very pleased to announce the availability of an RStudio TensorFlow template for the Paperspace cloud desktop service. If you don’t have local access to a modern NVIDIA GPU, your best bet is...

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  • lime v0.4: The kitten picture edition

    lime v0.4: The kitten picture edition

    This is guest post contributed by Thomas Lin Pedersen, creator of the lime package. The post originally appeared on Thomas’ blog at...

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  • Deep Learning for Cancer Immunotherapy

    Deep Learning for Cancer Immunotherapy

    This is a guest post from Leon Eyrich Jessen, a postdoctoral researcher in the Immunoinformatics and Machine Learning Group at the Technical University of Denmark. Introduction Simon...

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  • Predicting Fraud with Autoencoders and Keras

    Predicting Fraud with Autoencoders and Keras

    Overview In this post we will train an autoencoder to detect credit card fraud. We will also demonstrate how to train Keras models in the cloud using CloudML. The basis of our model will be the...

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  • Analyzing rtweet data with kerasformula

    Analyzing rtweet data with kerasformula

    This is guest post contributed by Pete Mohanty, creator of the kerasformula package. Overview The kerasformula package offers a high-level interface for the R interface to Keras. It’s main...

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  • Image Classification on Small Datasets with Keras

    Image Classification on Small Datasets with Keras

    Training a convnet with a small dataset Having to train an image-classification model using very little data is a common situation, which you’ll likely encounter in practice if you ever do...

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  • Deep Learning With Keras To Predict Customer Churn

    Deep Learning With Keras To Predict Customer Churn

    This is guest post contributed by Matt Dancho, CEO of Business Science. The post was originally published on the Business Science blog. Customer churn is a problem that all companies need to...

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  • R Interface to Google CloudML

    R Interface to Google CloudML

    Overview 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...

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  • Classifying duplicate questions from Quora with Keras

    In this post we will use Keras to classify duplicated questions from Quora. The dataset first appeared in the Kaggle competition Quora Question Pairs and consists of approximately 400,000 pairs of...

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  • Word Embeddings with Keras

    Word embedding is a method used to map words of a vocabulary to dense vectors of real numbers where semantically similar words are mapped to nearby points. Representing words in this vector space...

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  • Time Series Forecasting with Recurrent Neural Networks

    Time Series Forecasting with Recurrent Neural Networks

    Time Series Forecasting with Recurrent Neural Networks In this section, we’ll review three advanced techniques for improving the performance and generalization power of recurrent neural networks....

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  • Deep Learning for Text Classification with Keras

    Deep Learning for Text Classification with Keras

    Classifying movie reviews: a binary classification example Two-class classification, or binary classification, may be the most widely applied kind of machine-learning problem. In this example,...

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  • 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. Use the tfruns package to: Track the hyperparameters, metrics,...

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  • Keras for R

    Keras for R

    We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast...

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  • TensorFlow Estimators

    TensorFlow Estimators

    The tfestimators package is an R interface to TensorFlow Estimators, a high-level API that provides implementations of many different model types including linear models and deep neural...

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  • TensorFlow v1.3 Released

    TensorFlow v1.3 Released

    The final release of TensorFlow v1.3 is now available. This release of TensorFlow marks the initial availability of several canned estimators,...

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