Using Tensorflow and Support Vector Machine to Create an Image Classifications Engine

pixabay ai tensorflow post

In this post, we are documenting how we used Google’s TensorFlow to build this image recognition engine. We’ve used Inception to process the images and then train an SVM classifier to recognise the object. Our aim is to build a system that helps a user with a zip puller to find a matching puller in the database. This piece will also cover how the Inception network sees the input images and assess how well the extracted features can be classified.
Continue reading “Using Tensorflow and Support Vector Machine to Create an Image Classifications Engine”