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.
