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Caffe Deep Learning Python Notebook

A notebook to easily visualize filters, activations and output probability at each layer. This is extending caffe's classify.py; please refer to Caffe's Licence.

Install

Please install Caffe, Python, Cuda, CUDNN. Download the models.

Setup

Setup the locations in the notebook for the models.

In the notebook, set a url for an image, hit the button: "Submit for run:". All the following cells will be computed.

The notebook will identify, "Convolution", "InnerProduct" layers and create dropdown boxes. Selecting any convolution layer will allow, visualizaion of that layer.

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Caffe Deep Learning iPython Notebook.

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