How to generate single class based feature

[robonetphy]

I have similar network and I want to generate single class based feature as shown in readme.md
But in document using deepdream you are only visualizing layer not one class?
So how we extract one class based feature?

So please guide us for our research ....🙏

[BhagyeshVikani]

Hello @robonetphy

You can specify layer and the class index for which you want to generate deepdream visualization.

is_success = deepdream_visualization(sess_graph_path = tf.get_default_graph(), value_feed_dict = {t_input : im}, layer=layer, classes = [1, 2, 3, 4, 5], path_logdir=os.path.join("Log","Inception5"), path_outdir=os.path.join("Output","Inception5"))

Above example will generate 5 deepdream visualizations each for different classes(1, 2, 3, 4, 5). And 'layer' should be name of the last layer/last operation.

Example Notebook: tf_cnnvis_Example3

[robonetphy]

Thank you very much.this will help a lot to achieve our goal.