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TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it. TFLearn features include: Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast p
For bugs/issues, please fill in the following. The more information you provide, the more likely we can help you. Environment info Operating System: Mac OS (El Capitan / Python 2.7) If installed from binary pip package, provide: Which pip package you installed. Virtualenv The output from python -c "import tensorflow; print(tensorflow.version)". 0.7.1 If installed from sources, provide the commit h
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");
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