sforzando

4 ms·

1. 1.▲
   by sforzando 10y ago

   Don't worry, this article is definitely comedy/parody.
2. 2.▲
   by sforzando 10y ago

   I was impressed with the Labeled Faces in the Wild (LFW) facial auto-completion results, especially since the system was not trained on LFW at all! The results seemed almost too good to be true. Perhaps this is a testament that there isn&#x
3. 3.▲
   by sforzando 10y ago

   An example of a kernel that has a mathematical explanation for its values is the (discrete) Gaussian kernel, used to blur/smooth images: http://dev.theomader.com/gaussian-kernel-calculator/ The values of the g
4. 4.▲
   by sforzando 10y ago

   Could you explain how wavelet decompositions/transforms could be used to learn a predictive model? In other words: given a labeled dataset D = {x_i, y_i}, a function F(x) = y, where x is input data (pixels, credit scores, etc), and y a
5. 5.▲
   by sforzando 10y ago

   These helpful, well-written slides help explain where the "gradient" comes into "Gradient Boosting": http://www.ccs.neu.edu/home/vip/teach/MLcourse/4_boosting/sl... The gist of i
6. 6.▲
   by sforzando 10y ago

   I really enjoyed your step-by-step explanation of the pipeline: http://vipulsharma20.blogspot.in/2016/01/document-scanner-us... Great job! Computer vision is a really exciting field, and there are many excitin