I have designed a deep learning model using the PyTorch framework for image classification. I know to use Keras tuner to optimize a deep learning model designed using Keras. Can anyone help me in optimizing the hyperparameters of a deep learning model designed using the Pytorch framework? I have two options
- Convert the PyTorch model to a Keras model and use a Keras tuner on it.
- Use any hyperparameter optimization method on the PyTorch model.
Can anyone suggest me and help me with this problem of hyperparameter optimization.