|
You are here |
11011110.github.io | ||
| | | | |
aimatters.wordpress.com
|
|
| | | | | A few weeks ago, it was announced that Keras would be getting official Google support and would become part of the TensorFlow machine learning library. Keras is a collectionof high-level APIs in Python for creating and training neural networks, using either Theano or TensorFlow as the underlying engine. Given my previous posts on implementing an... | |
| | | | |
algorithmsoup.wordpress.com
|
|
| | | | | In this post, I want to tell you about what I think might be the world's simplest interesting algorithm. The vertex cover problem. Given a graph $latex {G = (V, E)}&fg=000000$, we want to find the smallest set of vertices $latex {S \subseteq V}&fg=000000$ such that every edge $latex {e \in E}&fg=000000$ is covered by... | |
| | | | |
mattkeeter.com
|
|
| | | | | ||
| | | | |
teddykoker.com
|
|
| | | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need: | ||