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Deep Learning and Keras with François Chollet
“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.”
Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. 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. 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.
François Chollet is the author of Keras and the founder of Wysp, learning platform for artists. He currently works for Google as a deep learning engineer and researcher.
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The post Deep Learning and Keras with François Chollet appeared first on Software Engineering Daily.
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By Machine Learning Archives - Software Engineering Daily
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“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.”
Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. 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. 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.
François Chollet is the author of Keras and the founder of Wysp, learning platform for artists. He currently works for Google as a deep learning engineer and researcher.
Questions
Links
The post Deep Learning and Keras with François Chollet appeared first on Software Engineering Daily.
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