Comments (1)
I just tried it on a crappy Nvidia card and it works out of the box, if you install CUDA properly. Just use the settings that are mentioned in the readme.
(btw it crashed because the card has only 512 MB RAM.)
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Related Issues (20)
- AttributeError: 'module' object has no attribute 'LeNetConvPoolLayer'
- question regarding datasets HOT 2
- Dealing with overfitting HOT 1
- success with CUDA 7.5? HOT 1
- about how many times does the iteration of experiment train
- Word Embddings in Non-static Mode HOT 2
- test_model in file conv_net_sentence.py
- Permissions Denied when loading GoogleNews-vectors-negative300.bin
- how about the size of feature map? HOT 1
- How do i get the name of every layer and their size?Someone knows?
- question about clearn_str in process_data.py HOT 1
- confused on the dropout_cost_p and cost_p ??
- how much RAM do i need to process Google News dataset bin model file? HOT 3
- Confused with vocab in process_data.py, need heeeeeeelp HOT 2
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- What does '<PAD>' stands for?
- How much memory do I need to process bin file (i.e. GoogleNews-vectors-negative300.bin) HOT 3
- a pickle file problem HOT 3
- NotImplementedError: The image and the kernel must have the same type.inputs(float32), kerns(float64)
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