-
### Supervised learning
- labeled data
- direct feedback
- predict outcome or future
-> "classification" "regression"
1) 일반화 선형 모델(GLM)
2) 의사결정트리(DT)
3) RANDOM FOREST
4) GBM/LGBM
5) DNN
…
-
Hello Alex,
I'm just interest in your great project, and hope to learn something from it. But I found it hard to do experiments by the code.
So may I ask you the pretrained models for better under…
-
> By having a wild thought on start a career on Artificial intelligence, started today to do a tiny research on how to study AI. It turns out it consist of a shit black hole of knowledges, which means…
-
Certainly! Let's recap the innovative idea of integrating machine learning model training with the Guix system, which allows for full introspection and accountability:
1. **Traces as Derivations**:…
-
## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…
-
We resubmitted version [0.10](https://github.com/greenelab/deep-review/releases/tag/v0.10) to the _Journal of the Royal Society Interface_ and *bioRxiv*. Thanks everyone for all the great work on the…
-
I tried clicking a few links and quickly discovered that many of them either yield an error or resolve to something irrelevant (parked domain pages, etc).
To help fix this, I threw together a scrip…
-
Following a discussion with @davidanthoff in the Julia Slack who referred me back to `Query.jl` in a discussion about some changes to `DataFramesMeta.jl` and I offered to give some new user feedback.
…
-
Hello, don't know if you are the original author of this tutorial – if so, thank you for making this so easy to understand for beginners!
Hope you can help me understand the Autoencoder model bette…
-
Hi, thanks for posting this code!
I'm not sure I understand the training objective you're using - is it a variational auto-encoder?
Is `loss_seq` the Kullback-Libeler divergence - [line 141](htt…
ghost updated
6 years ago