lab5 Wiki
This Assingment contains three task: For Google Conversation I added pictures taken during the conversation, It includes some questions about image classification. I used Intents, Entities, Popup For getting more information to go forward.
the database I used for ImageClassification_newHttp contains: watch, Flower and violon About 50 pictures of each of these categories for training the program. and then five another one to be used in html file to be predicted.
Dataset dataset is the same as before previous lab assignment, It contains 10 categories and each category includes 5 pictures
sourceCode
Input: Training Data: 70% Testing Data: 30% input
output model: model
Accuracy
blob/master/lab5/ImageClassification_newHttp/UI/index.html){kind=link}
Google Conversation
