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 networks.
Artificial Intelligence
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Predicting Sunspot Frequency with Keras
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, associated with lower temperature. Our post will focus on both how to apply deep learning to time series forecasting, and how to properly apply cross validation in this domain.
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 experimentation.
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.
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.
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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.
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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.
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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. In this example we’ll use Keras to generate word embeddings for the Amazon Fine Foods Reviews dataset.
Classifying Duplicate Questions from Quora with Keras
In this post we will use Keras to classify duplicated questions from Quora. Our implementation is inspired by the Siamese Recurrent Architecture, with modifications to the similarity measure and the embedding layers (the original paper uses pre-trained word vectors)
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Ingénierie sociale : menace omniprésente et maillon faible de la lutte anti-fraude
En 2024, près d’une entreprise française sur deux a subi une cyberattaque majeure, et dans 60 % des cas, tout a commencé par un simple mail ou appel frauduleux. Derrière chaque clic, chaque voix clonée, l’ingénierie sociale exploite nos failles humaines pour contourner les défenses les plus sophistiquées. Phishing, deepfake, usurpation […] The post Ingénierie sociale
Ingénierie sociale : menace omniprésente et maillon faible de la lutte anti-fraude Read More »