Zad1.zip

: Applying techniques like PCA or Autoencoders to compress high-dimensional deep features into a more manageable "compact feature vector".

If you are working with Python (common for these tasks), deep features are typically extracted by removing the final classification layer of a model: zad1.zip

: Reusing layers from a deep model to initialize a new task, where the "deep features" serve as the foundation for learning. : Applying techniques like PCA or Autoencoders to