Tutorials are not finished. See some [examples](examples) to learn about the framework:
See some [examples](examples) to learn about the framework:
### Vision:
+[DoReFa-Net: train binary / low-bitwidth CNN on ImageNet](examples/DoReFa-Net)
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@@ -53,7 +53,7 @@ With the above components defined, tensorpack trainer runs the training iteratio
Even on a small CNN example, the training runs [2x faster](https://gist.github.com/ppwwyyxx/8d95da79f8d97036a7d67c2416c851b6) than the equivalent Keras code.
Multi-GPU training is off-the-shelf by simply switching the trainer.
You can also define your own trainer for non-standard training (e.g. GAN).
You can also define your own trainer for different style of training (e.g. GAN).
