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Keras is one of the most adopted frameworks among deep learning researchers -- because it makes it possible to develop advanced architectures efficiently (ease of use) and get them working in few iterations (good defaults)pic.twitter.com/HYTlzH8Hzt
Using the Keras API together with TensorFlow gives you the flexibility you need to develop *anything* -- it provides you with a spectrum of features from the the highest level of abstraction to the lowest level.
Absolutely true!!! Keras high level wrapper API very flexible with Tensorflow compared to Theano.
Keras is our favorite! Check out what we built : http://www.infino.me/hungrybot
Yes, it's the true power that most of the people don't realize. Around 6 months ago, I wrote a blog post on the same. Check it out: “TensorFlow or Keras? Which one should I learn?”https://medium.com/implodinggradients/tensorflow-or-keras-which-one-should-i-learn-5dd7fa3f9ca0 …
We used Keras+TensorFlow to solve a very hard determination problem in Nuclear Fusion research. Your tools made it very easy to develop a proof of concept that provided much higher accuracy than previous methods. Thank you!
Strongly agree.
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