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IEEE5y
A New Image Recognition and Classification Method Combining Transfer Learning Algorithm and MobileNet Model for Welding Defects | IEEE Journals & Magazine | IEEE Xplore
Welding quality directly affects the welding structure's service performance and life. Hence, the effective monitoring welding defects is essential to ensure the quality of the weld structure. Owing ...
GitHub2y
nihithreddy/Image-Classification-Using-Transfer-Learning
Set hyperparameters: python train.py data_dir --learning_rate 0.001 --hidden_layer1 120 --epochs 20 ; Use GPU for training: python train.py data_dir --gpu gpu; Predict flower name from an image with ...
GitHub1y
Image Classification with Transfer Learning and Fine-Tuning
Unfreeze a few top layers of a frozen model base and jointly train both newly-added classifier layers and the last layers of the base model. Fine-tune higher-order feature representations in the base ...
Frontiers2y
Classification of tumor from computed tomography images: A brain-inspired multisource transfer learning under probability distribution adaptation - Frontiers
The AMSF-L1ELM includes three parts: (1) training the multisource transfer learning feature extraction network based on feature distribution dynamic alignment, and extracting the deep learning ...
EurekAlert!12mon
Machine learning to aid in classification of | EurekAlert!
image: Overview of the few-shot pathology image classification process constructed using the DCPN method. Initially, (A) the PVT model is pretrained based on self-supervised learning.
IEEE5y
A New Image Recognition and Classification Method Combining Transfer Learning Algorithm and MobileNet Model for Welding Defects | IEEE Journals & Magazine | IEEE Xplore
By using the ImageNet dataset (non-welding defect data) to pre-train a MobileNet model, migrate the MobileNet model to the welding defects classification field. This article suggested a new ...