Hi Pakize,
MATLAB's transfer learning capabilities are based on the Deep Learning Framework provided by MATLAB's Deep Learning Toolbox. The performance of transfer learning in MATLAB and Python's Keras can be comparable, as both platforms provide powerful tools and libraries for deep learning tasks. However, it's important to note that the performance can depend on several factors, including the specific models, datasets, and implementation details.
When comparing the accuracy of transfer learning models between MATLAB and Keras, it's difficult to define a specific threshold for the percentage difference that must be considered. The difference in accuracy can vary depending on various factors, such as the specific model architectures, hyperparameters, optimization algorithms, and dataset characteristics.
It's important to note that accuracy alone may not provide a complete picture of the model's performance. It's recommended to consider other evaluation metrics, such as precision, recall, F1 score, or area under the receiver operating characteristic curve (AUC-ROC), depending on the specific problem domain.
Ultimately, the choice of platform may depend on factors beyond just accuracy, such as ease of use, available resources, community support, and integration with other tools.
I hope it helps!
