4 ms·
So there hundreds of posts on CNNs, what do we find special in this post?
by antman 5y ago
So there hundreds of posts on CNNs, what do we find special in this post?
- atum47 5y agoI'm inclined to agree. I've been meaning to take the time to implement a CNN from scratch, I went right to this article hoping it would have some code but no, just the same content over again.
- theoneness 5y agoIf you want to implement a CNN from scratch, wouldn't you prefer an article that describes how it works, rather than an article that just gives you the code? Otherwise it's more a process of copying from a source moreso than implementing from scratch.
- gwgundersen 5y agoI didn't implement a CNN from scratch, but a few years ago, I wrote a blog post on CNNs [1] because, like the other commenters, I could find almost no decent blog content on what exactly a CNN was. Maybe it will help in your efforts. [1] http://gregorygundersen.com/blog/2017/02/24/cnns/ http://gregorygundersen.com/blog/2017/02/24/cnns/
- atum47 5y agothis seems really good. I always like to read code cause it gives a better idea how things works under the hood. when I first wrote a toy neural network I read everything I could on the topic, plus I was taking a ML class where the teacher was a big fan of implementing things from scratch.
- darepublic 5y agoI guess you could look at a popular framework such as pytorch and try to figure our from the code how cnn is implemented
- hmwhy 5y agoMy hypotheses are: 1. Some companies found a way to promote this type of blog articles past a certain threshold to stay on the front page long enough for... profits? 2. The demography of HN has changed substantially in recent times so that copypasta articles that don't add anything new to existing, better sources are actually valuable to them. Edit: typo.