all AI news
Human Action Recognition using 2D CNN with PyTorch
June 12, 2023, 12:30 a.m. | Sovit Ranjan Rath
DebuggerCafe debuggercafe.com
Human Action Recognition using a 2D CNN, specifically, fine tuning a pretrained ResNet50 model on a dataset with 15 action classes.
The post Human Action Recognition using 2D CNN with PyTorch appeared first on DebuggerCafe.
action recognition deep learning action recognition pytorch cnn dataset deep learning human human-action-recognition image-classification pytorch recognition resnet50
More from debuggercafe.com / DebuggerCafe
Instruction Tuning OPT-125M
4 days, 15 hours ago |
debuggercafe.com
Fine-Tuning GPT2 for Text Generation
1 week, 4 days ago |
debuggercafe.com
FasterViT for Semantic Segmentation
2 weeks, 4 days ago |
debuggercafe.com
FasterViT for Image Classification
3 weeks, 4 days ago |
debuggercafe.com
Improving Face Keypoint Detection
1 month, 1 week ago |
debuggercafe.com
Introduction to GPT-1 and GPT-2
1 month, 2 weeks ago |
debuggercafe.com
Multi Class Segmentation using Mask2Former
1 month, 4 weeks ago |
debuggercafe.com
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Machine Learning Engineer
@ Samsara | Canada - Remote