Questions tagged [keras-tuner]
166 questions
30
votes
1 answer
Keras-tuner Hyperband runing only 2 epochs
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 kerastuner.tuners import RandomSearch, Hyperband
from…
Kleyson Rios
- 2,597
- 5
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- 65
8
votes
10 answers
What does 'INFO:tensorflow:Oracle triggered exit' mean with keras tuner?
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 to early stopping? I have tried both randomsearch…
endorphinus
- 119
- 1
- 1
- 8
7
votes
1 answer
Do the number of units in a layer need to be defined within a conditional scope when using keras tuner to setup a model?
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:
for i in range(hp.Int('num_layers', 1, 10)):
…
Joe
- 418
- 4
- 12
6
votes
2 answers
How can I tune neural network architecture using KerasTuner?
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 architecture is defined using one parameter…
CathyQian
- 1,081
- 15
- 30
6
votes
1 answer
How to skip problematic hyperparameter combinations when tuning models using Keras Tuner?
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 with all values of pool size in the following…
George Liu
- 3,601
- 10
- 43
- 69
6
votes
1 answer
How to choose optimizer and learning rate for hyperparameter training in keras-tuner
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()method.
model.compile(
…
Landau
- 121
- 7
6
votes
2 answers
keras-tuner error in hyperparameter tuning
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_shape=(100,28)))
…
Tzikos
- 111
- 3
- 10
5
votes
6 answers
Reload Keras-Tuner Trials from the directory
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 example, I set up BayesianOptimization to search…
Krishnang K Dalal
- 2,322
- 9
- 34
- 55
4
votes
1 answer
Keras-tuning can't find callback
I am using keras-tuner in order to obtain the best set of hyperparameters for my model.
I can reproduce my problem for a random dataset:
def generate_data(n_windows, n_timesteps):
feature_vector_list = []
label_list = []
for i in…
DPM
- 845
- 7
- 33
4
votes
1 answer
Sending parameters to Keras Tuner model- builder function
I want to send parameters to Keras Tuner's model-builder function to parameterize
number of layers dense/dropout,
number of neurons,
activation,
and optimizer
for hyperparameter tuning.
However, I'm not able to send parameters to model-builder…
Ali Raza
- 57
- 3
4
votes
2 answers
Keras tuner and TPU in Google Colab
I have some problems with keras tuner and tpu. When I run the code below, everything works well and network training is fast.
vocab_size = 5000
embedding_dim = 64
max_length = 2000
def create_model():
model = tf.keras.Sequential([
…
KarPaLex
- 41
- 2
3
votes
1 answer
How to interperet the 'num_layers' line when using Keras Tuner
I'm reading an article about tuning hyperparameters in keras tuner. It includes code to build a model that has this code:
def build_model(hp):
"""
Builds model and sets up hyperparameter space to search.
Parameters
----------
…
Yoseph Ismail
- 109
- 7
3
votes
2 answers
NaN for Keras Tuner score for RandomSearch
I am trying out Keras (2.8.0) autotuner for a regression problem. Here is my code:
import pandas as pd
from tensorflow import keras
from keras import layers, losses
from keras_tuner.tuners import RandomSearch
df =…
rishi
- 2,564
- 6
- 25
- 47
3
votes
0 answers
Building the keras tuner best model with Sequential does not give the same results?
For my regression , these are the results of the best model that I obtained using keras-tuner.
best_model.summary()
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape …
K_D
- 147
- 8
3
votes
1 answer
Unknown metric val_accuracy using Keras Tuner
I am trying to use keras tuner with fashion-mnist dataset in Google Colab, that's my code:
!pip install keras-tuner
import tensorflow as tf
import kerastuner
import numpy as np
print("TensorFlow version: ", tf.__version__)
(x_train, y_train) ,…
Bruno Messias
- 35
- 5