PP08 - Machine Learning am Beispiel Bildklassifikation

<article class="post-detail"> <header> <h2 class="post-title"> <a href="https://python-podcast.de/show/machine-learning-example-cats-vs-dogs/">PP08 - Machine Learning am Beispiel Bildklassifikation</a> (click here to comment) </h2> <!-- link is on one line to avoid underlined whitespace --> <div class="post-card-meta"> <a href="https://python-podcast.de/show/machine-learning-example-cats-vs-dogs/"><time datetime="2019-05-02T02:00:00+02:00">2. Mai 2019</time>,</a> <span class="author">Jochen</span> </div> </header> <div class="post-body"> <section class="block-overview"> <section class="block-paragraph"> Wir reden noch mal &uuml;ber Machine Learning.<br /> <br /> </section> <section class="block-audio"> </section> <section class="block-paragraph"> </section> </section> <section class="block-detail"> <section class="block-paragraph"> <h2>Shownotes</h2> Unsere E-Mail f&uuml;r Fragen, Anregungen &amp; Kommentare: <a href="mailto:[email protected]">[email protected]</a> <h3>Wo wir unterwegs waren</h3> <ul> <li><a href="https://barcamptools.eu/pycamp201904/">Pythoncamp 2019</a></li> <li><a href="http://foxdot.org/">FoxDot</a></li> <li><a href="https://github.com/0LL13/parliParser">Extrahieren von Text aus den PDF-Sitzungsprotokollen des NRW-Landtages</a></li> </ul> <h3>Meta</h3> <ul> <li>Neues Feature: Kapitelmarken in&nbsp;<a href="https://github.com/ephes/django-cast">django-cast</a></li> </ul> <h3>Veranstaltungshinweise</h3> <ul> <li><a href="https://www.pycon.it/en/">PYCONX</a>&nbsp;(02 - 05.05.2019, Florenz)</li> <li><a href="http://2019.geopython.net/">GeoPython</a>&nbsp;(24 - 26.06.2019, Basel)</li> <li><a href="https://ep2019.europython.eu/">europython</a>&nbsp;(08 - 14.07.2019, Basel)</li> <li><a href="https://www.euroscipy.org/2019/">EuroSciPy</a>&nbsp;(02 - 06.09.2019, Bilbao)</li> <li><a href="https://de.pycon.org/">PyCon DE &amp; PyData Berlin</a>&nbsp;(09 - 13.10.2019, Berlin)</li> <li><a href="https://www.pyddf.de/sprint2019/">PyDDF Spring Sprint</a>&nbsp;(04 - 05.05.2019, D&uuml;sseldorf)</li> </ul> <h3>Machine Learning</h3> <ul> <li><a href="http://karpathy.github.io/2014/09/02/what-i-learned-from-competing-against-a-convnet-on-imagenet/">Andrej Karpathy vs ConvNet - Bildannotationen</a></li> <li><a href="http://www.image-net.org/">ImageNet</a></li> <li><a href="https://en.wikipedia.org/wiki/AlexNet">AlexNet</a></li> <li><a href="http://www.image-net.org/challenges/LSVRC/">ILSVRC</a></li> </ul> <h3>Katzen vs Hunde</h3> <ul> <li><a href="https://github.com/ephes/data_science_tutorial">Data Science Tutorial</a>, das das Katzen vs Hunde Beispiel enth&auml;lt</li> <li><a href="https://www.kaggle.com/c/dogs-vs-cats">Dogs vs Cats</a>&nbsp;auf Kaggle</li> <li><a href="https://keras.io/">Keras</a></li> <li><a href="https://www.intel.ai/plaidml/#gs.99lljz">PlaidML</a></li> <li><a href="https://www.manning.com/books/deep-learning-with-python">Deep Learning with Python</a></li> <li><a href="https://en.wikipedia.org/wiki/Bias%E2%80%93variance_tradeoff">Bias&ndash;variance tradeoff</a></li> </ul> <h3>Picks</h3> <ul> <li><a href="https://github.com/boxed/mutmut">mutmut</a></li> <li><a href="https://seaborn.pydata.org/">seaborn</a></li> <li><a href="https://docs.python.org/3/library/argparse.html">argparse</a></li> <li><a href="https://docs.python.org/3.7/library/getpass.html">getpass</a></li> <li><a href="https://docs.python.org/3.7/library/textwrap.html">textwrap</a></li> </ul> <a href="https://konektom.org/tags/67923/">&Ouml;ffentliches Tag auf Konektom</a> </section> </section> </div> </article>