Interpretable Machine Learning - Pilot
To my beloved Swimmer pals and strangers: I want to introduce this wonderful
resource named Interpretable Machine Learning
by Christoph Molnar. This book has comprehensive concepts about interpretability
on machine learning and deep learning, so I think it’s worth to study together
to understand what the field is and what are happening nowadays....
Joined Quora as an ML Engineer!
Hello stranger,
I’m happy to announce that I’m joining Quora from this
Autumn! I’ll be part of the Quora ML team as a Machine Learning Engineer. Honestly
I enjoyed all the unique processes of the interviews and the life in Quora will be
as exciting as those experiences. I can’t still believe myself to be hired by the
reknowned Silicon Valley co...
Generating Images with Desired Features
Generative Adversarial Networks (GANs) are the best choices of modern image
synthesis, aren’t they? We already have hardly distinguishable face generator
of StyleGAN21 (you can see an online demo)
and this seems only a step away from the perfect image generation. However, even
that SOTA model has limitations: how to generate an image with certai...
Evaluating GANs
Although Generative Adversarial Networks (GANs) are breaking the ground in daily
basis, there is no gold-standard metric to measure how well the genertor works.
We all know that several ML tasks’ standard metrics - such as mean square error (MSE)
for linear regression and cross entropy for classification - but what about for
GANs? How do we choo...
13 post articles, 2 pages.