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TensorFlow

TensorFlow 1.0 unlocks machine learning on smartphones

Version 1.0 not only brings improvements to the framework's gallery of machine learning functions, but also eases TensorFlow development to Python and Java users and improves debugging.A new compiler that optimizes TensorFlow computations opens the door to a new class of machine learning apps that can run on smartphone-grade hardware.Another slice…
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TensorFlow 1.0 unlocks machine learning on smartphones

TensorFlow 1.0 unlocks machine learning on smartphones Since Python's one of the biggest platforms for building and working with machine learning applications, it's only fitting that TensorFlow 1.0 focuses on improving Python interactions.…

Deep Learning Performance with P100 GPUs

Overall, we observed great speedup and scalability in neural network training when multiple P100 GPUs were used in Dell's PowerEdge C4130 server and multiple server nodes were used. The training time decreased. We chose a smaller number of…

Book: Deep Learning With Python

Added by Tim Matteson 0 Comments 0 Likes Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow. Based on all the materials I have looked at over the last year, his materials are probably the best…

GitHub

I'm sure the implementation could be improved, but it would probably take improvements in TensorFlow itself as well to get it to operate at the same speed as other implementations. This may require require a little bit more hyperparameter…