100 Days of Deep Learning - 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. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes 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 ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ⌚Time Stamps⌚ 00:00 - Intro 00:50 - problem with training your own model 02:35 - Using Pre-trained Model 07:01 - Using Transfer Learning 13:54 - Why Transfer Learning Works? 17:41 - Ways of doing Transfer Learning 20:54 - Code Example using KERAS