This is great! I was just writing a small script to prepare data for TensorFlow CNN image classification based on a custom dataset using SciKitFlow, but the InceptionV3 model is super cool and it looks like the have an implementation with almost compatible API to what I was writing [1].

I'm super impressed by what's coming out of Google's TensorFlow. Their ImageNet InceptionV3 model is a delight to play with in python!

[1] https://github.com/tensorflow/models/blob/master/inception/d...

You might be interested in this, it uses same model to create a very simple bare bones implementation of Approximate Visual Search. https://github.com/AKSHAYUBHAT/VisualSearchServer

This is awesome --> "In order to make research progress faster, we are additionally supplying a new version of a pre-trained Inception-v3 model that is ready to be fine-tuned or adapted to a new task. We demonstrate how to use this model for transfer learning on a simple flower classification task."

Fine-tuning these models for different applications has been a great way for me to build out new things without relying on an enormous fleet of K40s to train a new set from scratch. Lots of progress in this field, thanks to the whole team for releasing this.

This is a great news, the earlier released model had some limitations such as it could not be used with a batch. With this and multi GPU training, TensorFlow is now a good alternative to Caffe.

Here is my project with TensorFlow inception model. https://github.com/AKSHAYUBHAT/VisualSearchServer

Is the ami mentioned in your README still available? Searching for ami-b80f0ad2 in community AMIs is not turning up any results.

Yes its available in the Northern Virginia region.

https://www.dropbox.com/s/owp7fxwwtlutw8n/Screenshot%202016-...

Is anyone using Java for running the TensorFlow examples?