src.model.deeplearn.handle

author:

Alberto M. Esmoris Pena

The handle package contains the logic to handle the components involved in deep learning models. For instance, deep learning models have an architecture that must be compiled before training. A handler can take the responsibility of compiling the architecture, so it can be used as a typical model with a fit/train and predict interface.

Modules

dl_callback_builder

dl_class_weighter

dl_freeze_training_executor

dl_label_formatter

dl_model_compiler

dl_model_handler

dl_model_reporter

dl_path_manager

dl_pretrained_handler

dl_sequencer_builder

dl_training_handler

dl_transfer_handler

simple_dl_model_handler

torf_transfer_handler

transf_octorf_handler