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.
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
College aantekeningen
College notes Deep Learning deel 1 (XM_0083), Master VU AI
PopulairThose 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
Voordeelbundel
Deep Learning complete
All lectures of the course Deep Learning
MeldaMalkoc
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