3 ms·
Deep Learning Illustrated: Building Natural Language Processing Models
- gk1 7y agoIt's easy to miss but there's a link in the post to play around with the project but if you try to fork it you'll get an error. To get around this you have to create an account[0] first and then return to the project.[1] Then you can fork/copy and re-run it. [0] https://www.dominodatalab.com/try https://www.dominodatalab.com/try [1] https://try.dominodatalab.com/u/domino-andrealowe/Natural-Language-Processing/overview https://try.dominodatalab.com/u/domino-andrealowe/Natural-La...
- jonkrohn 7y agoHi! I'm the author of the Deep Learning Illustrated book that the blog post is based on. One could alternatively fork the book's GitHub repo (https://github.com/the-deep-learners/deep-learning-illustrated/ https://github.com/the-deep-learners/deep-learning-illustrat...), which includes all of the code covered in the post.
- dbranes 7y agoCool, but this seems to contain very few illustrations.
- jonkrohn 7y agohaha touché! While the blog post contains few illustrations, the book that it's based on, Deep Learning Illustrated, contains north of a hundred of them.
- app4soft 7y agoIs there similar thing just for the Deep Fakes?
- jonkrohn 7y agoChapter 12 of the book Deep Learning Illustrated is an introduction to Generative Adversarial Networks, so yes!