DNNClassification | Deep Neural Network Classification with Caffe Framework

DNNClassification is a Python library. DNNClassification has no bugs, it has no vulnerabilities and it has low support. However DNNClassification build file is not available. You can download it from GitHub.

Deep Neural Network Classification with Caffe Framework. In this project, classification of the images which are under /Images/ directory is done using neural networks. In order to do that, a trained deep model (ImageNet) is fetched from When the you run the code, classification prediction, probability of the class and entropy of the prediction is calculated and shown. For simplicity, there is no loops in the source code to read and classify multiple images. If you want to do it, it is pretty straightforward. In order to run the project, you should install Caffe Framework from and should fetch the trained deep net using /scripts/download_model_binary.py ../models/bvlc_reference_caffenet under Caffe's root directory. Also you should locate your classify.py file under examples folder. Please be careful with the directories because it can cause headaches :) If you want to train your own network, it will require so much time, so fetching the trained model is highly recommended. The source code is understandable enough especially with the comments.