acit4630 - ml/dl

This class was created by Brainscape user Rikard Donnelly. Visit their profile to learn more about the creator.

Decks in this class (18)

ML-01 - ML-01-Introduction and linear regression
No deck description has yet been added by the author.
38  cards
ML-02 - Logistic regression & classification
No deck description has yet been added by the author.
39  cards
ML-03 - Regularization in regression
No deck description has yet been added by the author.
13  cards
ML-04 - Neural network
No deck description has yet been added by the author.
37  cards
ML-05 - Model evaluation
No deck description has yet been added by the author.
27  cards
ML-06 - Model and feature selection
No deck description has yet been added by the author.
38  cards
ML-07 - Unsupervised learning
No deck description has yet been added by the author.
21  cards
ML-08 - Anomaly detection
No deck description has yet been added by the author.
7  cards
DL-01 - Introduction (+ impl)
No deck description has yet been added by the author.
23  cards
DL-02 - Improving DNN
No deck description has yet been added by the author.
38  cards
DL-04 - MLOps
No deck description has yet been added by the author.
14  cards
DL-05a - Convolutional neural network
No deck description has yet been added by the author.
15  cards
DL-05b - Convolutional neural network - Architectures
No deck description has yet been added by the author.
66  cards
DL-06 - Transfer learning
No deck description has yet been added by the author.
9  cards
DL-07 - Sequence models
No deck description has yet been added by the author.
72  cards
DL-08 - Transformers
No deck description has yet been added by the author.
94  cards
DL-09 - Generative models
No deck description has yet been added by the author.
74  cards
DL-10 - Reinforcement learning
No deck description has yet been added by the author.
76  cards

More about
acit4630 - ml/dl

  • Class purpose General learning

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