A blog for NLP, ML, and programming
This is an article providing another perspective on understanding Lagrangian and dual problem. These two topics are essential to convex and non-convex optimization. Since it is a blog post, the proper background to understand this article is kept rather low. If you need to brush up on convex...
RNN encoder-decoder has become the next heated field in Natural Language Processing, here is a history of its development. Papers are organized in a timely manner.
Ian Goodfellow’s book has a great overall summary to it: http://www.deeplearningbook.org/contents/rnn.html but sadly since it is a book, it lacks any recent development and...
Numpy Array overrides many operations, so deciphering them could be uneasy. Here are a collection of what I would consider tricky/handy moments from Numpy.
The == in Numpy, when applied to two collections mean element-wise comparison, and the returned result is an array....
When you work with Numpy, you work with multidimensional arrays (or tensors). I have to admit such concept was not too easy for me to grasp in the beginning, but after some delibration, it became relatively easy. This post uses the term tensor/multidimensional array interchangeably.
for a tensor of shape...
As some of you might know, I’ve been working on Numpy and Theano for a while. I can’t claim any expertise, but have found many interesting facets and had to synthesize them together, leading to this post.
The normal kind of slicing can be found...