matlab-deep-learning/Hyperparameter-Tuning-in-MATLAB-using-Experiment-Manager-and-TensorFlow
This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.
This project helps deep learning practitioners fine-tune their TensorFlow models for tasks like speaker identification. It takes raw audio data, preprocesses it in MATLAB, and then trains and optimizes a TensorFlow model in Python. The result is a highly accurate model that can classify speakers, along with the optimal hyperparameters for that model. This is ideal for researchers or engineers working with audio processing and deep learning.
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Use this if you need to build and optimize deep learning models in TensorFlow but prefer to manage your data preprocessing and experiment tracking within MATLAB.
Not ideal if you are working exclusively in Python and do not use MATLAB for any part of your deep learning workflow.
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Sep 28, 2022
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