Publications by Dr. Shirin Glander
Sketchnotes from TWiML&AI: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang
These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang: Sketchnotes from TWiMLAI talk: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang You can listen to the podcast ...
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Sketchnotes from TWiML&AI: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang
These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang: Sketchnotes from TWiMLAI talk: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang You can listen to the podcast ...
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July 5th & 6th in Münster: Workshop on Deep Learning with Keras and TensorFlow in R
Registration is now open for my 1.5-day workshop on deep learning with Keras and TensorFlow using R. It will take place on July 5th & 6th in Münster, Germany. You can read about one participant’s experience in my last workshop: Big Data – a buzz word you can find everywhere these days, from nerdy blogs to scientific research papers and eve...
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rOpenSci unconference 2018 + introduction to TensorFlow Probability & the ‘greta’ package
On May 21st and 22nd, I had the honor of having been chosen to attend the rOpenSci unconference 2018 in Seattle. It was a great event and I got to meet many amazing people! rOpenSci rOpenSci is a non-profit organisation that maintains a number of widely used R packages and is very active in promoting a community spirit around the R-world. Their ...
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It’s that easy! Image classification with keras in roughly 100 lines of code.
I’ve been using keras and TensorFlow for a while now – and love its simplicity and straight-forward way to modeling. As part of the latest update to my Workshop about deep learning with R and keras I’ve added a new example analysis: Building an image classifier to differentiate different types of fruits And I was (again) suprised how fast a...
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Sketchnotes from TWiML&AI: Practical Deep Learning with Rachel Thomas
These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Practical Deep Learning with Rachel Thomas: Sketchnotes from TWiMLAI talk: Practical Deep Learning with Rachel Thomas You can listen to the podcast here. In this episode, i’m joined by Rachel Thomas, founder and researcher at Fast AI. If you�...
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Explaining Keras image classification models with lime
Last week I published a blog post about how easy it is to train image classification models with Keras. What I did not show in that post was how to use the model for making predictions. This, I will do here. But predictions alone are boring, so I’m adding explanations for the predictions using the lime package. I have already written a few blog...
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Text-to-speech with R
Computers started talking to us! They do this with so called Text-to-Speech (TTS) systems. With neural nets, deep learning and lots of training data, these systems have gotten a whole lot better in recent years. In some cases, they are so good that you can’t distinguish between human and machine voice. In one of our recent codecentric.AI videos...
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Code for Workshop: Introduction to Machine Learning with R
These are the slides from my workshop: Introduction to Machine Learning with R which I gave at the University of Heidelberg, Germany on June 28th 2018. The entire code accompanying the workshop can be found below the video. The workshop covered the basics of machine learning. With an example dataset I went through a standard machine learning work...
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Addendum: Text-to-Speech with the googleLanguageR package
After posting my short blog post about Text-to-speech with R, I got two very useful tips. One was to use the googleLanguageR package, which uses the Google Cloud Text-to-Speech API. And indeed, it was very easy to use and the resulting audio sounded much better than what I tried before! Here’s a short example of how to use the package for TTS: ...
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