computer_vision.cnn_classification
==================================

.. py:module:: computer_vision.cnn_classification

.. autoapi-nested-parse::

   Convolutional Neural Network

   Objective : To train a CNN model detect if TB is present in Lung X-ray or not.

   Resources CNN Theory :
       https://en.wikipedia.org/wiki/Convolutional_neural_network
   Resources Tensorflow : https://www.tensorflow.org/tutorials/images/cnn

   Download dataset from :
   https://lhncbc.nlm.nih.gov/LHC-publications/pubs/TuberculosisChestXrayImageDataSets.html

   1. Download the dataset folder and create two folder training set and test set
   in the parent dataset folder
   2. Move 30-40 image from both TB positive and TB Negative folder
   in the test set folder
   3. The labels of the images will be extracted from the folder name
   the image is present in.



Attributes
----------

.. autoapisummary::

   computer_vision.cnn_classification.classifier


Module Contents
---------------

.. py:data:: classifier