What are the philosophical implications of relying heavily on pre-trained models and fine tuning for building intelligent systems?

Jul 3, 2023 ... Proposed CNN Based Deep Learning Approach for House Number Detection with Spatial Location in Real-Time Experimental Evaluations Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... Jun 1, 2022 ... Award Share. Community Info Section. r/deeplearning. Join. Deep Learning. 192K Members. 56 Online. Top 1% Rank by size. More posts you may like. Apr 18, 2025 ... Hello I am trying to fine tune the " High Resolution Land Cover Classification - USA " deep learning model for a region of interest in ... Apr 2, 2025 ... Generative AI models or foundation models are large ML models pre-trained with the intention that they are to be fine-tuned for more specific ... Dec 15, 2023 ... Deep learning practice is increasingly driven by powerful foundation models (FM), pre-trained at scale and then fine-tuned for specific ... Course Q&A Deep Learning Specialization Convolutional Neural Networks · Marios_Constantinou July 24, 2022, 12:39pm 1. I have a ResNet50 model with 190 ... Dec 16, 2024 ... ... exploration of strongly correlated systems using NQS, mirroring the success of fine-tuning in machine learning and natural language processing. Jun 3, 2019 ... Fine-tuning is a super-powerful method to obtain image classifiers on your own custom datasets from pre-trained CNNs (and is even more powerful ... Oct 15, 2024 ... ... Fine-tuning deep learning architectures for early detection of oral cancer. In: 2nd International Symposium on Mathematical and ...