While research in Deep Learning continues to improve the world, we use a bunch of tricks to implement algorithms with TensorLayer day to day. Here are a summary of the tricks to use TensorLayer. If you find a trick that is particularly useful in practice, please open a Pull Request to add it to the document. If we find it to be reasonable and verified, we will merge it in.
tensorlayer tensorflow deep-learning machine-learning data-science neural-network reinforcement-learning neural-networks tensorflow-tutorials tensorflow-models computer-vision tensorflow-framework tensorflow-library tflearn keras tensorboard nlp natural-language-processing lasagne tensorflow-experimentsThis is a repository for an object detection inference API using the Tensorflow framework. This repo is based on Tensorflow Object Detection API.
api docker dockerfile deep-neural-networks computer-vision deep-learning neural-network tensorflow gpu rest-api docker-swarm inference nvidia object-detection tensorflow-framework tensorflow-models detection-inference-apiThis is a repository for an object detection inference API using the Tensorflow framework. This repo is based on Tensorflow Object Detection API.
api docker cpu computer-vision deep-learning docker-container tensorflow rest-api docker-image inference deeplearning object-detection tensorflow-framework predictions inference-server bounding-boxes computervision docker-ce inference-engine detection-inference-api
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