/explore
|
You are here |
sloan.org | ||
| | | | |
jonathanweisberg.org
Jonathan Weisberg's Homepage |
|
| | | | | ||
| | | | |
benschmidt.org
[AI summary] The author describes a method inspired by Google's PageRank algorithm to rank graduate programs, applying it to political science and computer science departments, and discusses the results and limitations of such rankings. |
|
| | | | | ||
| | | | |
environmental-action.webaction.org
Founded at the first Earth Day with a mission to protect the planet and all of us who live on it, we are Environmental Action. We promote a greener, more sustainable way of life, stand up to big polluters, take on the corrupt politicians and give everyone in America a chance to be an environmentalist with simple, powerful actions. Ready to take action for the planet? You're in the right place. |
|
| | | | | ||
| | | | |
jaketae.github.io
Recently, a friend recommended me a book, Deep Learning with Python by Francois Chollet. As an eager learner just starting to fiddle with the Keras API, I decided it was a good starting point. I have just finished the first section of Part 2 on Convolutional Neural Networks and image processing. My impression so far is that the book is more focused on code than math. The apparent advantage of this approach is that it shows readers how to build neural networks very transparently. It's also a good introduction to many neural network models, such as CNNs or LSTMs. On the flip side, it might leave some readers wondering why these models work, concretely and mathematically. This point notwithstanding, I've been enjoying the book very much so far, and this post is... |
|
| | | |||