Comments (1)
I evaluated the models that were not saved at the end of the training and loaded the models that were saved at the end of the training (both in the first round). I found that after the first round of training, the eval dropped by about 10%, and the model saved in the first round was loaded. About ten percent down again
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Related Issues (20)
- About batchnorm HOT 3
- About the role of training set in the process of prediction HOT 1
- 1-shot 5-way Mini-ImageNet setting HOT 1
- What are 5-shot 5-way Reptile + Transduction hyperparameters? HOT 1
- Cannot reproduce the results for 1-shot 5-way Mini-ImageNet HOT 10
- Seems that reptile produce similar gridients as vanilla SGD
- some problems about the dataset
- Model Issue
- demo code for reinforcement learning?
- Reptile for numeric data HOT 1
- Training hyperparameters HOT 4
- Question regarding the evaluation
- moving average in AdamOptimizer when conducting evaluation HOT 3
- question about dataset HOT 1
- Update Omniglot URL
- How to interpret the batch accuracy for train and test HOT 1
- Question reagarding the mata gradient computation.
- How to convert the saved models to tflite format?
- How to understand the transductive in the code?
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