Deep Learning
Vrije Universiteit Amsterdam (VU)
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Resumen
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...
Notas de lectura
College notes Deep Learning deel 2 (XM_0083), Master VU AI
PopularThose 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.
Lote
Deep Learning complete
All lectures of the course Deep Learning
Notas de lectura
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.