THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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| Gluon package | Description | Comments | Can be supported with current JNI? | Covered in Dive into Deep Learning? | Benefit | Effort |
|---|---|---|---|---|---|---|
| gluon.base | Base Package | Dynamic Graph support? | ? | Just about everywhere | ||
| gluon.model_zoo | Provides pre-defined and pre-trained models to help bootstrap machine learning applications | yes |
| High | Low | |
| gluon.data | Provides useful dataset loading and processing tools, as well as common public datasets. |
| ||||
| gluon.loss | Commonly used loss functions in neural networks |
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| gluon.nn | Neural network blocks |
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| gluon.rnn | Recurrent neural network API |
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| gluon.contrib | Provides many useful experimental APIs for new features. | None |
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