Comments (1)
Well, there are already some crates dealing with SVM and LR, so I'd rather make use of those than reimplementing. The integration of those merely to provide easy integration and prevent every user from having to write the same gluecode over and over.
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Related Issues (20)
- Error when executing "example-rnn-regression" juice example on aarch64 target HOT 16
- Mismatched type error when compiling juice for aarch64 HOT 1
- error[E0599] no associated item named 'CUDNN_RNN_PADDED_IO_DISABLED' HOT 2
- example/rnn: Batch size must not cause errors in test HOT 1
- Failed to build HOT 4
- Fails to build on rcudnn. HOT 4
- Implement BatchNormalization2d Layer HOT 2
- Native support for Convolution Layer HOT 2
- Potential bug in NegativeLogLikelihood impl HOT 9
- cblas linker error HOT 12
- Juice for Deep Reinforcement Learning HOT 17
- add non-cuda examples HOT 3
- Fails to build with default features off HOT 1
- cuda-memcheck: "Address ... is out of bounds" HOT 1
- Unclear how to correctly compute dot product HOT 1
- The Juice book is out of date
- Unhelpful panic message on (presumably?) invalid inputs to `forward` HOT 1
- In new arch, make Layer operations return Result instead of panicking internally
- How can you continue training a model from a file? HOT 15
- Merge Layer
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