Tag · 2 posts

#imagenet

  1. Creating and containerizing a TensorFlow Go application

    In an earlier post, I discussed using a TensorFlow model from a Go application. With the TensorFlow bindings for Go, you can load a model that was exported with TensorFlow’s SavedModelBuilder module. That module saves a “snapshot” of a trained model which can be used for inference. In this post, we will actually use the…

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  2. Using TensorFlow models in Go

    Image via http://www.vpnsrus.com In earlier posts, I discussed hosting a deep learning model such as Resnet50 on Kubernetes or Azure Container Instances. The model can then be used as any API which receives input as JSON and returns a result as JSON. Naturally, you can also run the model in offline scenarios and directly from…

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