Discover and read the best of Twitter Threads about #deeplearningai
Most recents (2)
ChatGPT
While it is true that there is too much hype surrounding #ChatGPT—which is mathematically very weak—one should not forget the dramatic recent progress in #machinelearning and #deeplearningai that are right now doing some amazing things (1/6)
While it is true that there is too much hype surrounding #ChatGPT—which is mathematically very weak—one should not forget the dramatic recent progress in #machinelearning and #deeplearningai that are right now doing some amazing things (1/6)
• solving the chaotic three-body problem (2/6) arxiv.org/abs/1910.07291
• solving physics problems generated by Minerva 540B (3/6) ai.googleblog.com/2022/06/minerv…
Some tips to increase the Performance of Your Object Detection Models - A trhead
1/n
#computervision #pytorch #deeplearning #deeplearningai #100daysofmlcode #neuralnetworks #machinelearning #datascience #pythonprogramming #python #AI #ArtificialIntelligence #pythonprogramming
1/n
#computervision #pytorch #deeplearning #deeplearningai #100daysofmlcode #neuralnetworks #machinelearning #datascience #pythonprogramming #python #AI #ArtificialIntelligence #pythonprogramming
2/n
Following tips may boost model performance across different network structures with up to 5% (mAP or mean Average Precision) without increasing computational costs in any way.
#computervision #pytorch #deeplearning #deeplearningai #100daysofmlcode #neuralnetworks #AI
Following tips may boost model performance across different network structures with up to 5% (mAP or mean Average Precision) without increasing computational costs in any way.
#computervision #pytorch #deeplearning #deeplearningai #100daysofmlcode #neuralnetworks #AI
3/n
Visually Coherent Image Mix-up for Object Detection. This has already been proven to be successful in lessening adversarial fears in network classification after testing it on COCO 2017 and PASCAL datasets with YOLOv3 models.
#computervision #pytorch
Visually Coherent Image Mix-up for Object Detection. This has already been proven to be successful in lessening adversarial fears in network classification after testing it on COCO 2017 and PASCAL datasets with YOLOv3 models.
#computervision #pytorch
