Difference between revisions of "Algorithms"
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* [[Hyperparameters]] | * [[Hyperparameters]] | ||
| + | * [[Evaluation Measures]] | ||
* [[Google DeepMind AlphaGo Zero]] | * [[Google DeepMind AlphaGo Zero]] | ||
* [http://www.sas.com/en_gb/insights/articles/analytics/machine-learning-algorithms.html A guide to machine learning algorithms and their applications] | * [http://www.sas.com/en_gb/insights/articles/analytics/machine-learning-algorithms.html A guide to machine learning algorithms and their applications] | ||
Revision as of 10:54, 22 September 2018
- Hyperparameters
- Evaluation Measures
- Google DeepMind AlphaGo Zero
- A guide to machine learning algorithms and their applications
- Outline of machine learning | Wikipedia
- How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
Architecture:
- Variables type
- Variable scaling
- Cost function
- Type of neural network - CNN, RNN, FFN
- Number of layers, hidden
- Type of layers
- LSTM, Dense, Highway
- Convolutional
- Pooling
- Weight initialization type
- Number of nodes
- Type of activation function - linear, Sigmoid, ReLU
- Dropout rate (or not)
- Threshold
Neural Networks
Top Algorithms
AI Knowledge Map: How To Classify AI Technologies | Francesco Corea - KDnuggets
