Neuronale Netze selbst programmieren: Ein verstndlicher Einstieg mit Python

Neuronale Netze sind Schlsselelemente des Deep Learning und der Knstlichen Intelligenz die heute zu Erstaunlichem in der Lage sind. Sie sind Grundlage vieler Anwendungen im Alltag wie beispielsweise Spracherkennung Gesichtserkennung auf Fotos oder die Umwandlung von Sprache in Text. Dennoch verstehen nur wenige wie neuronale Netze tatschlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise die mit ganz einfachen Ideen beginnt und Ihnen Schritt fr Schritt zeigt wie neuronale Netze arbeiten: - Zunchst lernen Sie die mathematischen Konzepte kennen die den neuronalen Netzen zugrunde liegen. Dafr brauchen Sie keine tieferen Mathematikkenntnisse denn alle mathematischen Ideen werden behutsam und mit vielen Illustrationen und Beispielen erlutert. Eine Kurzeinfhrung in die Analysis untersttzt Sie dabei. - Dann geht es in die Praxis: Nach einer Einfhrung in die populre und leicht zu lernende Programmiersprache Python bauen Sie allmhlich Ihr eigenes neuronales Netz mit Python auf. Sie bringen ihm bei handgeschriebene Zahlen zu erkennen bis es eine Performance wie ein professionell entwickeltes Netz erreicht. - Im nchsten Schritt tunen Sie die Leistung Ihres neuronalen Netzes so weit dass es eine Zahlenerkennung von 98 % erreicht nur mit einfachen Ideen und simplem Code. Sie testen das Netz mit Ihrer eigenen Handschrift und werfen noch einen Blick in das mysterise Innere eines neuronalen Netzes. - Zum Schluss lassen Sie das neuronale Netz auf einem Raspberry Pi Zero laufen. Tariq Rashid erklrt diese schwierige Materie auergewhnlich klar und verstndlich dadurch werden neuronale Netze fr jeden Interessierten zugnglich und praktisch nachvollziehbar.

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