Computer Vision Choose Best Architecture for Image Classification
Code needs to be added for model training, should be done in Google Colab/Kaggle using GPU.
Jupyter Notebook is attached.
Criteria:
- send a link to Google Colab/Kaggle with the solution (with saved cell outputs);
- add code for model training;
- try several (no more than 4, but not less than 2) models (do not use inception models) and choose the best one;
- the work result - in Jupyter Notebook, the entire model training pipeline should be present, write about the scores obtained as a result and your conclusions regarding the experiments and results obtained.
Notes:
Model architectures may take a long time to train.
The code may fail with CUDA OUT OF MEMORY ERROR - reduce the batch size or the size of the image fed to the model.
Applications 1
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