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!).

Links:

Keras: https://keras.io

Image recognition in Keras: https://keras.io/examples/vision/image_classification_from_scratch

Facial recognition using convolutional neural networks (CNN): https://www.sitepoint.com/keras-face-detection-recognition

PETA: https://www.peta.org

User recognition based on mouse movements and deep learning: http://www.acta.sapientia.ro/acta-info/C12-1/info12-1-3.pdf

Comparison of deep learning software: https://en.wikipedia.org/wiki/Comparison_of_deep-learning_software

Apache's mxnet: https://mxnet.apache.org/versions/1.8.0

Classification with deep belief networks: https://www.ki.tu-berlin.de/fileadmin/fg135/publikationen/Hebbo_2013_CDB.pdf

scikit-learn: https://scikit-learn.org/stable

Life on Mars: http://www.bbc.co.uk/lifeonmars/index_non_flash.shtml

Limitless: https://www.imdb.com/title/tt1219289/?ref_=fn_al_tt_1