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TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It deals with the inference aspect of machine learning, taking models after training and managing their lifetimes, providing clients with versioned access via a high-performance, reference-counted lookup table. TensorFlow Serving provides out-of-the-box integration w
# Licensed under the Apache License, Version 2.0 (the "License");
README.md This directory contains functions for creating recurrent neural networks and sequence-to-sequence models. Detailed instructions on how to get started and use them are available in the tutorials. RNN Tutorial Sequence-to-Sequence Tutorial Here is a short overview of what is in this directory. File What's in it?
Resources: aforgenet.com .. (microsoft.com/net + accord-framework.net = windows) caffe.berkeleyvision.org .. speed makes caffe perfect for industry use developer.nvidia.com/cudnn .. gpu-accelerated library of primitives for deep neural networks github.com/maddin79/darch .. create deep architectures in the r programming language deeplearning4j.org .. commercial-grade deep-learning library written i
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