What are the techniques for verifying and validating fine-tuned models for critical applications?

Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... We present GOODFIT, one of the first optimizers that has been specifically designed to operate on converged models that need to be incrementally fine-tuned ... Mar 20, 2023 ... With fine-tuning, you freeze the weights for all the pretrained layers except for one. Then, through edge training, the weights for the single ... Jun 6, 2022 ... Title:Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ... Abstract:We consider fine-tuning a pretrained ... We investigate generalization properties of fine-tuning to understand the problem of overfitting, which often happens in practice. Jun 18, 2017 ... Can anyone share his code for using finetuning alexnet please? I am very new to all pytorch and deep learning and it would really help. Apr 18, 2023 ... As mentioned above, fine-tuning consists of making slight adjustments. This, within deep learning, means using the weights of an existing deep ... Jul 13, 2023 ... Fine-tuning to another language ... What is the best option, if we need a model for a downstream task in another language from the base model? Apr 15, 2020 ... The most common incarnation of transfer learning in the context of deep learning is the following workflow: Take layers from a previously ... Jul 3, 2023 ... Proposed CNN Based Deep Learning Approach for House Number Detection with Spatial Location in Real-Time Experimental Evaluations