When using Keras Tuner, there doesn't seem to be a way to allow the skipping of a problematic combination of hyperparams. For example, the number of filters in a Conv1D layer may not be compatible ...

The code below is the same Hello-World example from kera-tuner website, but using Hyperband instead of RandomSearch. from tensorflow import keras from tensorflow.keras import layers from kerastun...

I'm trying to reload or access the Keras-Tuner Trials after the Tuner's search has completed for inspecting the results. I'm not able to find any documentation or answers related to this issue. For...

I'm trying to use KerasTuner to automatically tune the neural network architecture, i.e., the number of hidden layers and the number of nodes in each hidden layer. Currently, the neural network arc...

I am using Keras Tuner to tune the hyperparameters of my neural network. I want to search the optimal number of hidden layers and the optimal number of units in each layer. To avoid overparametrizi...

When I run Keras Tuner search, the code runs for some epochs and then says: 'INFO:tensorflow:Oracle triggered exit'. What does this mean? I am still able to extract best hyperparameters. Is it due...

i am trying my first time to get a keras-tuner tuned deep learning model. My tuning code goes like below: def build_model_test(hp): model = models.Sequential() model.add(layers.InputLayer(input_...

I would like to do hyperparameter training using the kerastuner framework. How can I choose an optimizer and different learning rates which can be passed to the optimizers. This is my model.compile...

According to the Keras Tuner examples here and here, if you want to define the number of layers and each layer's units in a deep learning model using hyper parameters you do something like this: fo...

Using example from Keras Tuner website, I wrote simple tuning code base_model = tf.keras.applications.vgg16.VGG16(input_shape=IMG_SHAPE, include_top=False, weights='imagenet') base_model.traina...