Tag: deeplearning

#100DaysOfCode: Machine Learning & Data Visualization

#100DaysOfCode: Machine Learning & Data Visualization

2018 seemed to be the year of challenges going viral on the web. Most of them were plain stupid and/or dangerous. However, one viral challenge I did like: #100DaysOfCode 1. Code minimum an hour every day for the next 100 days.2. Tweet your progress every day with the #100DaysOfCode hashtag.3. Each day, reach out to … Continue reading #100DaysOfCode: Machine Learning & Data Visualization

Papers with Code: State-of-the-Art

Papers with Code: State-of-the-Art

OK, this is a really great find! The website PapersWithCode.com lists all scientific publications of which the codes are open-sourced on GitHub. Moreover, you can sort these papers by the stars they accumulated on Github over the past days. The authors, @rbstojnic and @rosstaylor90, just made this in their spare time. Thank you, sirs! Papers with Code allows you to quickly … Continue reading Papers with Code: State-of-the-Art

Tensorflow for R Gallery

Tensorflow for R Gallery

Tensorflow is a open-source machine learning (ML) framework. It's primarily used to build neural networks, and thus very often used to conduct so-called deep learning through multi-layered neural nets.  Although there are other ML frameworks -- such as Caffe or Torch -- Tensorflow is particularly famous because it was developed by researchers of Google's Brain … Continue reading Tensorflow for R Gallery

Dragonflies and neural networks

Dragonflies and neural networks

Did you know that dragonflies are one of the most effective and accurate predators alive? And that while it has a brain consisting of very few neurons. Neuroscientist Greg Gage and his colleagues studied how a dragonfly locks onto its preys and captures it within milliseconds. Actually, a dragonfly seems to be little more than … Continue reading Dragonflies and neural networks

Computers decode what humans see: Generating images from brain activity

Computers decode what humans see: Generating images from brain activity

I recently got pointed towards a 2017 paper on bioRxiv that blew my mind: three researchers at the Computational Neuroscience Laboratories at Kyoto, Japan, demonstrate how they trained a deep neural network to decode human functional magnetic resonance imaging (fMRI) patterns and then generate the stimulus images. In simple words, the scholars used sophisticated machine learning to … Continue reading Computers decode what humans see: Generating images from brain activity

PyData, London 2018

PyData, London 2018

PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The communities approach data science using many languages, including (but not limited to) Python, Julia, and R. April 2018, a PyData conference was held in London, with three days of super … Continue reading PyData, London 2018