Discover and read the best of Twitter Threads about #keras

Most recents (4)

(1/7) My experience today to migrate my code from #Keras to Keras for @TensorFlow (tf.keras) has been a bit painful unfortunately. Some issue I encountered (@fchollet maybe this is of interest to you?):
(2/7) I found out that 1.13 doesn't have support for float16 in linear algebra operators, luckily this pull request now landed in 1.14-RC0…
(3/7) It seems that Dropout on an input with a partially unknown shape, and a noise_shape of (None, 1, None), does not work in tf.keras. I could work around it but in the original Keras this works just fine.
Read 7 tweets
The January issue of @NatureMedicine is all about data and machine learning in biomedicine! Here's a quick roundup:
.@fdna and collaborators published DeepGestalt, which predicts genetic syndromes from images of faces. No code shared, but they used a deep convolutional neural network with #keras and @TensorFlow backend and discussed params in detail!

.@EricTopol reviewed applications of artificial intelligence in medicine, including some basics of deep neural nets, their history, existing applications + performance, and potential for the future.

Read 10 tweets
✨💡 This is an ace idea from @sarah_edo! 💕

👩‍💻 Be on the lookout for a @TensorFlow Advent Calendar tomorrow, as well, highlighting meaningful, high-impact projects and papers from our community. If you'd like for yours to be considered, please shoot me an @-mention!
#TFadvent begins today! 😄

For our first project, I'd like to highlight this accessibility example from @shekitup that uses @TensorFlowJS to interpret sign language—and then translates those signs into input that can be used by a home assistant! 🗣️✨…
🎁 Day #2 of #TFadvent:

🤖 Check out this project from a recent hackathon at @ColbyCollege! The team trained a @TensorFlow model to learn muscle movements, then used that model to send signals to a prosthetic arm, controlling one finger at a time. ✨

Read 32 tweets
✨🧠 The ecosystem that has grown up around @TensorFlow in the last few years blows my mind. There's just so much functionality, compared to some of the other, newer frameworks.

👉Consider this an ever-expanding thread for me to take notes + wrap my brain around products. Ready?
1) @TensorFlow Extended (TFX)

It's no secret that I 💕 #TFX and all of its tooling for deploying machine learning models into production. If you care about keeping your models up-to-date and monitoring them, you should check out the product + its paper.
2) @TensorFlow Hub

If you want to train your model on a small data set, or improve generalization, you'll need to use something called transfer learning. #TFHub modules make it easy—and are available in an #OSS marketplace:

Read 40 tweets

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