How Should you Architect Your Keras Neural Network: Hyperparameters (8.3)
Hyperparameter optimization is an important topic for any machine learning model. Neural networks have even more complex hyperparameters due to their complex structure. Not only must you determine how many layers to use, but also how many neurons on each layer and option options per layer. This video introduces manual neural network hyperparameter optimization.
Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_08_3_keras_hyperparameters.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/
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Видео How Should you Architect Your Keras Neural Network: Hyperparameters (8.3) канала Jeff Heaton
Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_08_3_keras_hyperparameters.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/
Follow Me/Subscribe:
https://www.youtube.com/user/HeatonResearch
https://github.com/jeffheaton
https://twitter.com/jeffheaton
Support Me on Patreon: https://www.patreon.com/jeffheaton
Видео How Should you Architect Your Keras Neural Network: Hyperparameters (8.3) канала Jeff Heaton
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