He currently works for Google as a deep learning engineer and researcher. He explains the need for Keras and why its simplicity and ease makes it a useful deep learning library for developers to experiment and build with.įrançois Chollet is the author of Keras and the founder of Wysp, learning platform for artists. In 2015, he introduced the world to an application. In this episode, François discusses the state of deep learning, and explains why the field is experiencing a cambrian explosion that eventually may taper off. Franois Chollet, a scientist in Google's artificial intelligence unit, is a member of a new generation of pioneers in machine learning. It was developed with a focus on enabling fast experimentation.
Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
“I definitely think we can try to abstract away the first principles of intelligence and then try to go from these principles to an intelligent machine that might look nothing like the brain.”
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