Deep Learning (XM_0083)

Vrije Universiteit Amsterdam (VU)

Hier vind je de beste samenvattingen om te slagen voor Deep Learning (XM_0083). Er zijn o.a. samenvattingen, aantekeningen en oefenvragen beschikbaar.

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Summary Deep Learning (MSc AI)
  • Samenvatting

    Summary Deep Learning (MSc AI)

  • Based on lectures. I got a 9 for the exam! Deep learning becomes the leading learning and modeling paradigm in machine learning. During this course, we will present basic components of deep learning, such as: - different layers (e.g., linear layers, convolutional layers, pooling layers, recurrent layers); - non-linear activation functions (e.g., sigmoid, ReLU); - backpropagation; - learning algorithms (e.g., ADAM); - other (e.g., dropout). Further, we will show how to build deep ar...
  • vjblom
    €8,98 Meer Info
College notes Deep Learning deel 2 (XM_0083), Master VU AI
  • College aantekeningen

    College notes Deep Learning deel 2 (XM_0083), Master VU AI

  • Those are the notes I made during the whole course, it is not a summary! As long as you understand this document you do not need to watch any lecture. With those notes I have passed the course with a 7.5.
  • MeldaMalkoc
    €4,49 Meer Info
College notes Deep Learning deel 1 (XM_0083), Master VU AI
  • College aantekeningen

    College notes Deep Learning deel 1 (XM_0083), Master VU AI

  • Those are the notes I made during the whole course, it is not a summary! As long as you understand this document you do not need to watch any lecture. With those notes I have passed the course with a 7.5.
  • MeldaMalkoc
    €4,49 Meer Info
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