-
Had hard time to understand the output of discriminative model. The discriminative model is the supervised learning. The input is the probability of label y1. What is output x1_1 and x1_2? Are h1_1, h…
-
If the generative model produces probabilistic labels, I don't understand why we would feed those into a discriminative model ... the whole purpose was to give a prediction given an input and we have …
-
Sorry for all the Issues, but this should be the last one for a while:
Is there an efficient manner to sample the latent space? I'm currently just randomly sampling the range of min/max for each f…
-
Hi,
I have two questions about the ways of using the snorkel:
1) I am trying to train a Stanford Core-NLP NER model for picking all the software names and vendor names from the comments and des…
-
Dear Everyone,
DL4J claims the ability to solve anomaly detection problems (spam filtering/ fraud detection). can you please refer me to a documentation or example on how to solve such problems usin…
-
Hi, I think there's a typo on page 33 Lines 817 to 818 where you use the word "describes" twice. Maybe you meant to say "Algorithm 1 describes the generative model, the Naive Bayes classifier, with pa…
-
-
to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
-
## Describe the bug
**textmodel_wordscores** produces different results across v1.2.0 and v1.3.(4). This possibly relates to handling of the smoothing parameter. Without smoothing parameter (defaul…
-
> AI - 人工智能；AR - 增强现实；CV - 机器视觉；DL - 深度学习；DM - 数据挖掘；DS - 数据科学；DV - 数据可视化；IOT - 物联网；ML - 机器学习；NLP - 自然语言处理