Hey! I'm your first Markdown document in StackEdit[^stackedit]. Don't delete me, I'm very helpful! I can be recovered anyway in the Utils tab of the Settings dialog.
Documents
| Welcome to StackEdit! | |
| =================== | |
| Hey! I'm your first Markdown document in **StackEdit**[^stackedit]. Don't delete me, I'm very helpful! I can be recovered anyway in the **Utils** tab of the <i class="icon-cog"></i> **Settings** dialog. | |
| ---------- | |
| Documents |
| Transfer Baogang project to KeystoneML and Spark | |
| ==== | |
| Contents | |
| -- | |
| [TOC] | |
| Useful Links | |
| -- | |
| [KeystoneML Source Code](https://github.com/amplab/keystone) | |
| [An KeystoneML Example](https://github.com/amplab/keystone-example) |
This document summarizes some potentially useful papers and code repositories on Sentiment analysis / document classification
| "a" should " " in { | |
| import com.intel.analytics.bigdl.numeric.NumericFloat | |
| val input = Tensor(T(T(0.2f))) | |
| val layer = Sequential() | |
| .add(Replicate(2, 1, 1)).add(Recurrent().add(RnnCell(1, 1, Tanh(), isInputWithBias = false))) | |
| layer.setWeightsBias(Array(Tensor(T(T(0.1f))), Tensor(T(T(-1.2f))), Tensor(T(0.0f)))) | |
| val output = layer.forward(input) | |
| println(output) | |