Image recognition tutorial in Python/MXNet using deep convolutional
I would like to introduce in this post some specific CNN implementations which are able to offer a cognitive image processing that is very close to the state of the art. The exemplary code is based on the use of MXNet framework combined with the Python language.
MXNet is an open source project, distributed under the Apache License Version 2.0, a result of the research and development groups’ collaboration, belonging to important institutions such as CMU, NYU, NUS and MIT. It is a DMLC project. DMLC is a group of companies, laboratories and universities engaged in projects which are contributing from many years in defining the leading edge in the field of machine learning.
Please continue to read the original post Image recognition tutorial in Python/MXNet using deep convolutional on my old blog.