You need to wrap your Keras model as a Scikit learn model first and then proceed as usual. Here’s a quick example (I’ve omitted the imports for brevity) Here is a full blog post with this one and many other examples: Scikit-learn Pipeline Examples # create a function that returns a model, taking as parameters … Read more
Many researchers use RayTune. It’s a scalable hyperparameter tuning framework, specifically for deep learning. You can easily use it with any deep learning framework (2 lines of code below), and it provides most state-of-the-art algorithms, including HyperBand, Population-based Training, Bayesian Optimization, and BOHB. import torch.optim as optim from ray import tune from ray.tune.examples.mnist_pytorch import get_data_loaders, … Read more