What is Transfer Learning? Transfer Learning in Keras | Fine Tuning Vs Feature Extraction
Transfer learning is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize cars could apply when trying to recognize trucks.
Dataset - https://www.kaggle.com/datasets/salader/dogs-vs-cats
Codes
https://colab.research.google.com/drive/1VxoR4vMmZJAOCsDUnfezPuFQqHdKabcL?usp=sharing
https://colab.research.google.com/drive/1q_INiVDAzhSy1L_A87fBTf2wC3l3MiWy?usp=sharing
https://colab.research.google.com/drive/1mEWfubs2tR0CkqyxqP49cK30n7V5_NCm?usp=sharing
Pretrained Model video - https://www.youtube.com/watch?v=0MVXteg7TB4&ab_channel=CampusX
Transfer learning is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize cars could apply when trying to recognize trucks.
Dataset – https://www.kaggle.com/datasets/salader/dogs-vs-cats
Codes
https://colab.research.google.com/drive/1VxoR4vMmZJAOCsDUnfezPuFQqHdKabcL?usp=sharing
https://colab.research.google.com/drive/1q_INiVDAzhSy1L_A87fBTf2wC3l3MiWy?usp=sharing
https://colab.research.google.com/drive/1mEWfubs2tR0CkqyxqP49cK30n7V5_NCm?usp=sharing
Pretrained Model video – https://www.youtube.com/watch?v=0MVXteg7TB4&ab_channel=CampusX
