This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

🧰 Grad-CAM implementation using TensorFlow 2.X code. Including guided Grad-CAM and counterfactuals.

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

🔦 Saliency maps implemented in TensorFlow 2 - SmoothGrad, GradCAM, Integrated Gradients, Guided Backprop and other methods.

Tensorflow 2.2.0 implementation of GradCam

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Tensorflow 2.0 implementation of GradCAM

Implementation of GradCam using Tensorflow 2.0

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The hands on project on Scene Classification and GradCam Visualization is divided into following tasks: Task #1: Project Overview/Understand the problem statement and business case Task #2: Import Libraries/datasets and perform preliminary data processing Task #3: Perform Image Visualization Task #4: Perform Image Augmentation Task #5: Understand the theory and intuition behind Convolutional Neural Networks (CNNs) and Residual blocks. Task #6: Build ResNet-18 Model Task #7: Compile and train deep learning model Task #8: Assess the Performance of the Trained Model Task #9: Visualizing Activation Maps through Grad-CAM Task #10: Save the model for deployment Task #11: Serve the model using Tensorflow Serving I did this project from Coursera Project Network. the link of the project is given below. https://www.coursera.org/learn/scene-classification-gradcam/home/welcome The project is designed by Ryan Ahmed. Ryan is a professor who is passionate about education and technology. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster University in Canada, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with a focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.