Tensorflow Image Recognition Tutorial

This tutorial shows how we can use MLDB’s TensorFlow integration to do image recognition. TensorFlow is Google’s open source deep learning library.

We will load the Inception-v3 model to generate discriptive labels for an image. The Inception model is a deep convolutional neural network and was trained on the ImageNet Large Visual Recognition Challenge dataset, where the task was to classify images into 1000 classes.

To offer context and a basis for comparison, this notebook is inspired by TensorFlow’s Image Recognition tutorial.

https://docs.mldb.ai/ipy/notebooks/_tutorials/_latest/Tensorflow%20Image%20Recognition%20Tutorial.html

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