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deep_learning [2020/06/10 16:39] – gerald | deep_learning [2024/02/29 13:36] (aktuell) – Externe Bearbeitung 127.0.0.1 | ||
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- | Artificial Intelligence | + | |
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+ | Beste Grafikkarten GPUs: [[https:// | ||
Machine Learning | Machine Learning | ||
+ | Artificial Intelligence | ||
+ | |||
+ | Machine Learning Maschine Learning | ||
+ | |||
+ | |||
+ | Unterschiede Gehirn neuronales Netz | ||
+ | https:// | ||
+ | |||
+ | |||
+ | {{:: | ||
+ | |||
+ | ====== Neuronale Netzwerke ====== | ||
+ | Einführung Videos (engl.): [[https:// | ||
+ | Einführung (Kostenloses Buch, engl.): [[http:// | ||
+ | |||
+ | |||
+ | * Parameter: Anzahl der Neuronen (Parameter: Bias/ | ||
+ | * Aktivierungsfunktion: | ||
+ | ====== Fertig trainierte KI-Netzerke ====== | ||
+ | |||
+ | ===== Grafik ===== | ||
+ | Videos online erstellen kostenlos: https:// | ||
+ | ===== Text ===== | ||
+ | |||
+ | [[https:// | ||
+ | |||
+ | Frei: | ||
+ | |||
+ | [[https:// | ||
+ | [[https:// | ||
====== Deep Learning ====== | ====== Deep Learning ====== | ||
+ | |||
+ | Crash course Google : https:// | ||
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[[http:// | [[http:// | ||
+ | |||
+ | |||
+ | ===== OpenCV ===== | ||
+ | |||
+ | ==== Beispiele ==== | ||
+ | |||
+ | |||
+ | === Vorbeifahrende Autos zählen === | ||
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+ | Object tracking in video with OpenCV and Deep Learning ((https:// | ||
+ | |||
+ | Pattern: [[https:// | ||
+ | |||
+ | Repo: [[https:// | ||
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===== Frameworks ===== | ===== Frameworks ===== | ||
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==== TensorFlow ==== | ==== TensorFlow ==== | ||
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+ | [[https:// | ||
[[https:// | [[https:// | ||
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==== Keras ==== | ==== Keras ==== | ||
+ | Grundlagen: [[https:// | ||
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==== Microsoft Recognition Toolkit ==== | ==== Microsoft Recognition Toolkit ==== | ||
+ | ===== YOLO ===== | ||
+ | |||
+ | You only look once | ||
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+ | Quelle((https:// | ||
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+ | You Only Look Once - this object detection algorithm is currently the state of the art, outperforming R-CNN and it's variants. I'll go into some different object detection algorithm improvements over the years, then dive into YOLO theory and a programmatic implementation using Tensorflow! | ||
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+ | Code for this video: | ||
+ | https:// | ||
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+ | More learning resources: | ||
+ | https:// | ||
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+ | https:// | ||
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+ | http:// | ||
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+ | https:// | ||
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+ | https:// | ||
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+ | https:// | ||
+ | https:// | ||