/cse700

Image Analysis with Deep Learning Models

Primary LanguageJupyter Notebook

CSE 700 Master's Project

This was my Master's Project for MS in CS, SUNY University at Buffalo during Spring 2018.

The notebooks are fairly annotated to be self-explanatory.

Files list -

  1. AlexNet.ipnyb - I implemented the AlexNet model from scratch using Keras.
  2. VGG16.ipnyb - I implemented the VGG16 model from scratch using Keras.
  3. Grad-CAM.ipnyb - I applied the Grad-CAM technique on the model predictions as seen in the notebooks above to generate heat-map helping derive insights of the inner workings of the neural networks label predictions.
  4. Report.pdf - The report explains all the process and the findings for each stage. It also lists all the references used.

How to read through the project -

  1. Please read the Report.pdf first to understand the problem statements and necessary steps and setups required.
  2. The Jupyter Notebooks have the relevant code.