Comments (3)
bartvm
commented on August 28, 2024
Another limitation of Pylearn2 came to mind: Averaging of statistics over a validation set. Basically, there are two kinds of statistics, those that need to be accumulated over an entire validation set (e.g. average likelihood) and those that don't (e.g. weight norms). Monitoring values should be tagged as such, so that they can be collected into two separate Theano functions.
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bartvm
commented on August 28, 2024
For reference, also see discussion here: #68 (comment)
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bartvm
commented on August 28, 2024
Main features completed; time for more specific issues.
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Related Issues (20)
- Initialization in Stacked LSTM HOT 1
- EarlyStopping does nothing with default triggers
- Ensemble Learning
- Blocks-examples, float64 test is broken
- Errors in the Adam implementation HOT 10
- VisibleDeprecationWarning now results an error HOT 1
- Sampling in recurrent function causes error HOT 4
- ERROR:blocks.main_loop:Error occured during training. HOT 4
- How to use the model? HOT 2
- BN serialization HOT 3
- Using generated output for further calculation HOT 2
- python setup.py install can't work HOT 1
- Softmax.categorical_cross_entropy documentation is wrong
- WithExtraDims wrapper should pass kwargs to the wrapped method
- theano.gof.fg.InconsistencyError: Trying to reintroduce a removed node
- can't install stable version
- Installation fails with no such option: --allow-external HOT 5
- Feature Request: Add Mish activation to the available non-linearities
- Building wheel for fuel (setup.py) ... error HOT 3
- I want to know how the file named 'main_loop.tar"came about
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