A lot of TensorFLow beginners feel that the code of the rnn language model supporting the official tutorial is a little bit obscure. It has almost stopped me from diving into deep learning. It spent me a lot of time to figure out what the code is trying to say, since it’s quite different from what they describe in the tutorial.
This post is to test the eligible of static pages using
Install Virtualenv without sudo privilege
- Download and unzip one of the latest pacages:
wget https://github.com/pypa/virtualenv/archive/15.1.0.tar.gz tar -zxvf 15.1.0.tar.gz
I implemented Suffix Tree algorithm in Python in the past few days, you can refer to my github repository if you’re interested in. The famous tutorial on stackoverflow is a good start. If you pay enough attention to some details like state updating or suffix links managing, you can write the code by yourself for sure. When a lot of small operations are entangling together, the ancient trick flowchart is always a wise choice for assisting. Also a tree visualizer might help a lot with debugging for sure. In order to make the intervene of the processes easy to understand, we demonstrate the flowchart in this post.
Today, I submitted my way of scraping tweets on Twitter - TwEater on GitHub.