HPR3359: Linux Inlaws S01E32: Politicians and artificial intelligence part 3

<p>In part three of the 27.64 episodes long mini-series on artificial intelligences, machine and deep learning and other hipster topics around machines trying to imitate humans (marketing made us do these :-), our two heroes discuss domain-specific frameworks on top of (more generic) infrastructure like TensorFlow or PyTorch. As usual, all will be revealed and no details be spared (apart from a very few) including how to tell animals apart from humans (a tricky feat as any journalist can tell you who's ever faced a stampeding horde of angry politicians!).</p> <h2>Links:</h2> <ul> <li>Keras: <a href="https://keras.io" target=_blank>https://keras.io</a></li> <li>Image recognition in Keras: <a href="https://keras.io/examples/vision/image_classification_from_scratch" target=_blank>https://keras.io/examples/vision/image_classification_from_scratch</a></li> <li>Facial recognition using convolutional neural networks (CNN): <a href="https://www.sitepoint.com/keras-face-detection-recognition" target=_blank>https://www.sitepoint.com/keras-face-detection-recognition</a></li> <li>PETA: <a href="https://www.peta.org" target=_blank>https://www.peta.org</a></li> <li>User recognition based on mouse movements and deep learning: <a href="https://www.acta.sapientia.ro/acta-info/C12-1/info12-1-3.pdf" target=_blank>https://www.acta.sapientia.ro/acta-info/C12-1/info12-1-3.pdf</a></li> <li>Comparison of deep learning software: <a href="https://en.wikipedia.org/wiki/Comparison_of_deep-learning_software" target=_blank>https://en.wikipedia.org/wiki/Comparison_of_deep-learning_software</a></li> <li>Apache's mxnet: <a href="https://mxnet.apache.org/versions/1.8.0" target=_blank>https://mxnet.apache.org/versions/1.8.0</a></li> <li>Classification with deep belief networks: <a href="https://www.ki.tu-berlin.de/fileadmin/fg135/publikationen/Hebbo_2013_CDB.pdf" target=_blank>https://www.ki.tu-berlin.de/fileadmin/fg135/publikationen/Hebbo_2013_CDB.pdf</a></li> <li>scikit-learn: <a href="https://scikit-learn.org/stable" target=_blank>https://scikit-learn.org/stable</a></li> <li>Life on Mars: <a href="https://www.bbc.co.uk/lifeonmars/index_non_flash.shtml" target=_blank>https://www.bbc.co.uk/lifeonmars/index_non_flash.shtml</a></li> <li>Limitless: <a href="https://www.imdb.com/title/tt1219289/?ref_=fn_al_tt_1" target=_blank>https://www.imdb.com/title/tt1219289/?ref_=fn_al_tt_1</a></li> </ul>