Tuning Hyperparameters using Keras Tuner | Tensorflow | GeoDev

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timestamps:
0:00 Intro
0:55 Slide talking about important parameters
2:18 keras tuner and focal loss package installation
3:02 Recap on previous work
4:22 Hyperparameters tuning in attention unet
13:32 Random search best hyperparameters
21:34 Get best model from keras_tuner
24:30 Summary of this tutorial
#kerastuner #deeplearning #imagery
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[@wasiurrahaman7242]

One thing I want to know in this similar way is that I want to find the best epoch and batch size including this how it could be possible.

[@geodev]

For the best number of epoch, use callback functions such as early stopping and model checkpointer. Regarding batch size, yes, you can do the similar approach.