New example on http://keras.io : generate faces that don't exist with this complete StyleGAN implementation -- in less than 500 lines of code. https://keras.io/examples/generative/stylegan/ …pic.twitter.com/wHfkOa0Eqs
Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.
You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
Add this Tweet to your website by copying the code below. Learn more
Add this video to your website by copying the code below. Learn more
By embedding Twitter content in your website or app, you are agreeing to the Twitter Developer Agreement and Developer Policy.
| Country | Code | For customers of |
|---|---|---|
| United States | 40404 | (any) |
| Canada | 21212 | (any) |
| United Kingdom | 86444 | Vodafone, Orange, 3, O2 |
| Brazil | 40404 | Nextel, TIM |
| Haiti | 40404 | Digicel, Voila |
| Ireland | 51210 | Vodafone, O2 |
| India | 53000 | Bharti Airtel, Videocon, Reliance |
| Indonesia | 89887 | AXIS, 3, Telkomsel, Indosat, XL Axiata |
| Italy | 4880804 | Wind |
| 3424486444 | Vodafone | |
| » See SMS short codes for other countries | ||
This timeline is where you’ll spend most of your time, getting instant updates about what matters to you.
Hover over the profile pic and click the Following button to unfollow any account.
When you see a Tweet you love, tap the heart — it lets the person who wrote it know you shared the love.
The fastest way to share someone else’s Tweet with your followers is with a Retweet. Tap the icon to send it instantly.
Add your thoughts about any Tweet with a Reply. Find a topic you’re passionate about, and jump right in.
Get instant insight into what people are talking about now.
Follow more accounts to get instant updates about topics you care about.
See the latest conversations about any topic instantly.
Catch up instantly on the best stories happening as they unfold.
New example on http://keras.io : generate faces that don't exist with this complete StyleGAN implementation -- in less than 500 lines of code. https://keras.io/examples/generative/stylegan/ …pic.twitter.com/wHfkOa0Eqs
Hello. In your opinion, when training from scratch, what is the minimum size of a dataset to train styleGAN ? (I work on monkey faces, in behavioral ecology, so transfer learning is not necessarily adapted)
You dense sampling of the latent manifold (so can do interpolation on the manifold). What "dense" means depends on the variety/complexity of your data. Monkey faces all precisely facing the camera -- I'd guess you need 5-10k images for decent results and 50k for great results.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.