Kaggle Camera Model Identification (1-2 places) — Artur Fattakhov, Ilya Kibardin, Dmitriy Abulkhanov
Artur Fattakhov, Ilya Kibardin and Dmitriy Abulkhanov share their winner’s solutions of Kaggle Camera Model Identification. In this competition, Kagglers challenged to build an algorithm that identifies which camera model captured an image by using traces intrinsically left in the image. From this video you will learn:
- How to get additional photo data
- Training Scheme with cyclic learning rate and pseudo labeling
- Snapshot Ensembles aka Multi Checkpoint TTA
- Training on small crops and finetune on big crops to speed up without loss in quality
- Prediction equalization
165 views
10
2
2 years ago 01:01:21 18
Data Analyst Portfolio Project - SQL | Step-by-Step Guide From SQL Database to Interactive Dashboard
2 years ago 00:22:29 38
Custom SQL Query Tutorial For Beginners | Data Analyst Portfolio Project (Part 2)
2 years ago 01:15:39 7
#3 Machine Learning Papers with Code - 3D Deep Learning - 2D to 3D with Nvidia EG3D
2 years ago 01:40:55 3
#9 Working on Tensorflow Image Classification with Transfer Learning - ML Experiments
2 years ago 00:26:06 8
100 Machine Learning tips and TRICKs to celebrate 🎉
6 years ago 00:37:29 1
Kaggle Camera Model Identification (1-2 places) — Artur Fattakhov, Ilya Kibardin, Dmitriy Abulkhanov
7 years ago 00:48:38 28
Каggle Camera Model Identification: как оверфитнуться на LB, Евгений Бабахин
7 years ago 01:24:47 52
Запись трансляции тренировки ML | Kaggle Camera, Web Traffic, Nomad