Comments (2)
chenditc
commented on August 11, 2024
The model is done, but since the parameters are large, the query is too big and the uploadModel operation time out. Need to fix it by extend wait_timeout variable
from deeplearningresearch.
chenditc
commented on August 11, 2024
wait_timeout and max_allowed_package change to maximum value by:
- Go to RDS - Parameter Groups
- Create a new parameter group with maximum values
- Modify the RDS instance to use the new parameter group
- Reboot the instance to pickup the parameters
from deeplearningresearch.
Related Issues (19)
- Separate training and testing phase HOT 1
- Recurrent Neural Network HOT 1
- Restrict Boltzmann Machine HOT 2
- Convolutional Neural Net
- Use logistic regression to predict stock change
- Use multi-thread and queue to increase the speed of upload and download the data. HOT 1
- RBM: Why we must not compute the gradient through the gibbs sampling HOT 1
- Add clipping gradient to replace normal gradient
- Review pylearn2 and add necessary improvement.
- Use cPickle to speed up serialization
- Build Data Loader and Data Loader's DB HOT 2
- Build Model Loader and Model Saver HOT 4
- Build Trainer Class HOT 1
- Build Online tester HOT 1
- Store data's meta data for each data set HOT 2
- Rewrite logistic regression model to use DataLoader interface to load data. HOT 4
- Upload standard MNIST data set to database HOT 1
- Understand how scan are used in different models HOT 6
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