Deep Learning for Computer Vision

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Dive into the captivating realm of "Deep Learning for Computer Vision"! Uncover how machines decipher images, opening doors to self-driving cars, facial recognition, and more. Whether you're an aspiring AI engineer or simply curious, this course offers a unique chance to master image analysis.
Join us to explore convolutional neural networks, image classification, and object detection through hands-on projects. No prior experience needed; we'll guide you from basics to advanced techniques. Shape the future with us—where pixels create endless possibilities. Enroll now and let's bring pixels to life!
This seminar can be run as an in-house training course as well, e.g. in England, France, Switzerland, Austria, Italy, Netherland, Luxembourg, Belgium, Canada or Germany.

This course is intended for students who have basic python or programming background. The participants will acquire the necessary knowlegde to analyze, visualize and present data by using the Python modules Numpy, Scipy, Matplotlib and Pandas.

Im Kurs werden folgende Themen behandelt:

This course covers an introduction to deep learning and applies it to the field of computer vision. Deep learning is a subset of machine learning which utilizes artificial neural networks to recognize complex patterns in data. These networks learn hierarchical features, resulting in powerful models. These models excel in tasks like image recognition and natural language processing.
In this course we will build a neural network from scratch to gain understanding of its internal working. We will look at different architectures, for example convolutional neural networks and more. We will have a look at how to regularize our data and avoid overfitting. On top of this we will use Keras which is build on top of Tensorflow to experiment with more complex network to solve more challenging problems.
  • Introduction to the fundamentals
  • Numpy
  • Plotting with matplotlib and seaborn
  • Short Introduction to machine learning
  • Developing our first neural network from scratch
  • Detecting numbers and characters
  • Challenges of deep learning
    • Bias-Variance Trade-off
    • Over- and under-fitting
  • Introduction to Tensorflow and Keras
  • Convolutional networks
  • Advanced example

  • Kurs-Termine:
    • Von Montag, dem 22. Januar, 2024 bis Freitag, den 26. Januar, 2024 (5 Tage)
    • Von Montag, dem 4. März, 2024 bis Freitag, den 8. März, 2024 (5 Tage)
    • Von Montag, dem 13. Mai, 2024 bis Freitag, den 17. Mai, 2024 (5 Tage)
    • Von Montag, dem 1. Juli, 2024 bis Freitag, den 5. Juli, 2024 (5 Tage)
    • Von Montag, dem 19. August, 2024 bis Freitag, den 23. August, 2024 (5 Tage)
    • Von Montag, dem 16. September, 2024 bis Freitag, den 20. September, 2024 (5 Tage)

    5 Tage

    Preise pro Tag für diesen Kurs:

    ONLINE    409,- € ohne MwSt.
    direkt von zu Hause oder aus Ihrem Büro
    Hemmenhofen am Bodensee    423,- € ohne MwSt.
    in unmittelbarer Nähe von Konstanz und Zürich
    Nürnberg, München, Augsburg 449,- € ohne MwSt.
    Stuttgart, Karlsruhe, Freiburg, Ulm, Saarbrücken    439,- € ohne MwSt.
    Hamburg, Berlin, Hannover 449,- € ohne MwSt.
    Frankfurt, Köln, Kassel 449,- € ohne MwSt.
    Unser bestes Angebot:    562,- € ohne MwSt.
    Preis pro Kurstag inklusive Übernachtung mit Vollpension im 4-Sterne Hotel Hoeri direkt am Bodensee mit Spa, Sauna, Fitness-Bereich, Swimming-Pool und eigenem Strand am See


    Außerdem im Preis des Kurses enthalten:
    Comprehensive course material

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