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
Ml 01,
Ml 01 introduction and linear reg...,
Ml 01 introduction and linear reg...
38  cards
ML-02 - Logistic regression & classification
Ml 02 logistic regression classif...,
Ml 02 logistic regression classif...,
Ml 02 logistic regression classif...
39  cards
ML-03 - Regularization in regression
Ml 03 regularization in regression,
Ml 03 regularization in regression,
Ml 03 regularization in regression
13  cards
ML-04 - Neural network
Ml 04 neural networkwhy use ann o...,
Ml 04 neural network,
Ml 04 neural network
37  cards
ML-05 - Model evaluation
Ml 05 model evaluation,
Ml 05 model evaluation,
Ml 05 model evaluation
27  cards
ML-06 - Model and feature selection
Ml 06 model and feature selection,
Ml 06 model and feature selection,
Ml 06 model and feature selection
38  cards
ML-07 - Unsupervised learning
Ml 07 unsupervised learning,
Ml 07 unsupervised learning,
Ml 07 unsupervised learning
21  cards
ML-08 - Anomaly detection
Ml 08 anomaly detection,
Ml 08 anomaly detection,
Ml 08 anomaly detection
7  cards
DL-01 - Introduction (+ impl)
Dl 01a introduction,
Dl 01a introduction,
Dl 01a introduction
23  cards
DL-02 - Improving DNN
Dl 02 improving dnn,
Dl 02 improving dnn,
Dl 02 improving dnn
38  cards
DL-04 - MLOps
Dl 04 mlopsname the 7 steps of th...,
What are the goals of mlops,
Dl 04 mlops
14  cards
DL-05a - Convolutional neural network
Dl 05a convolutional neural network,
Dl 05a convolutional neural network,
Dl 05a convolutional neural network
15  cards
DL-05b - Convolutional neural network - Architectures
Dl 05b convolutional neural netwo...,
Dl 05b convolutional neural netwo...,
Dl 05b convolutional neural netwo...
66  cards
DL-06 - Transfer learning
Dl 06 transfer learning,
Dl 06 transfer learning,
Dl 06 transfer learning
9  cards
DL-07 - Sequence models
Dl 07 sequence models,
Dl 07 sequence models,
Dl 07 sequence models
72  cards
DL-08 - Transformers
Dl 08 transformers,
Dl 08 transformers,
Dl 08 transformers
94  cards
DL-09 - Generative models
Dl 09 generative models,
Dl 09 generative models,
Dl 09 generative models
74  cards
DL-10 - Reinforcement learning
Dl 10 reinforcement learning,
Dl 10 reinforcement learning,
Dl 10 reinforcement learning
76  cards

More about
ACIT4630 - ML/DL

  • Class purpose General learning

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