Google web search interest around deep learning frameworks over time. If you remember Q4 2015 and Q1-2 2016 as confusing, you weren't alone.pic.twitter.com/1f1VQVGr8n
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When you think we should use TensorFlow alone over Keras ?
They are complementary. Write raw TensorFlow for maximum flexibility when implementing brand new techniques or doing research.
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Thx for the answer ! For non DeepLearning experts, Keras is enough ? Even for production ? (I feel so, after used both)
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Keras+TF is great for prod (see TF Serving). And almost every advanced use case is covered by the Keras API: VAE, GAN, MemNN, you name it
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