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1. Brain-Tumor-Classification Brain-Tumor-Classification Public

   InceptionV3 model has been used using the concept of transfer learning to classify brain tumors from MRI images of figshare dataset.

   Jupyter Notebook 2

2. Image-Forgery-Detection Image-Forgery-Detection Public

   Comparison between different DL models such as VGGnet,InceptionV3,Resnet for copy move forgery detection

   Jupyter Notebook 5

3. Breast-Cancer-Classification-From-Histopathological-Images Breast-Cancer-Classification-From-Histopathological-Images Public

   Improved Deep Learning Model has been used to classify Breast Cancer from Histopathological Tissue Images.

   Jupyter Notebook 1

4. Expression-Recognizer Expression-Recognizer Public

   Here kaggle dataset is used for training a DL model which can accurately predict expression of human having accuracy of 84.5%. Expressions include Happy, Sad, Depressed,Angry etc.

   Jupyter Notebook

5. Pneumonia-detection-from-Chest-X-ray-Images Pneumonia-detection-from-Chest-X-ray-Images Public

   Here we used different feature extractor with Faster R-CNN to classify objects of imaging without the help from tensorflow object API

   Jupyter Notebook

6. Advance-Computer-Vision-Using-Tensorflow Advance-Computer-Vision-Using-Tensorflow Public

   Transfer learning, object detection and localization, Activation map have been discussed in this repository

   Jupyter Notebook