tensorflow implementation of Grad-CAM (CNN visualization)

Implementation of Grad CAM in tensorflow

Tensorflow Slim Grad-Cam to Explain Neural Network Predictions with Heatmap or Shading

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

Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

Convenient to use !

Grad-CAM implementation for TensorFlow 2.0 in Eager Execution mode.

Medical Image Diagnosis Assistant is a Streamlit-based deep learning web app that analyzes uploaded medical images (like X-rays, CT scans, etc.) to assist in detecting diseases. It uses TensorFlow/Keras models for prediction and Grad-CAM visualization to highlight which parts of the image the AI focused on.

Explainable AI: For Computer Vision Tasks Using CAM, GradCAM & GradCAM++

Forward and Backward Pass of the neural Network, Activation Functions, Optimizer Implementations, Tensorflow, Transfer Learning, Grad-CAM.

Xray Xplorer · CNN, XGBoost & Grad-CAM · COVID-19 Detection in Chest X-Ray Images Using Explainable Boosting Algorithms · Flask Web Application · Python, TensorFlow, Keras · Available in Mauritius

Deep learning system for pneumonia detection from chest X‑rays with explainable AI heatmaps (Grad‑CAM). Built with TensorFlow and Streamlit. Achieves ~90% accuracy.

Grad-CAM implementation in TensorFlow JS.

Grad-CAM implementation in tensorflow-2

Grad Cam generator for audio

Grad-CAM: Visualize class activation maps with Keras, TensorFlow, and Deep Learning

Implementation of the Grad-CAM algorithm in an easy-to-use class, optimized for transfer learning projects and written using Keras and Tensorflow 2.x

A deep learning project using a CNN in TensorFlow to classify cat and dog images. The web app, built with Streamlit, supports real-time camera input and batch file uploads. Implements Grad-CAM for model interpretability, displaying heatmaps of the AI's focus areas on a dynamic, modern user interface.

Implementation of GradCam using Tensorflow 2.0

Implementation of a Grad-CAM analysis in TensorFlow 1 for frozen graph models.

Cat vs Dog Image Classification using Transfer Learning with Explainable AI (Grad-CAM). Built using TensorFlow, Keras, and MobileNetV2, including confidence scores and visual heatmap interpretations.

Web-based diagnostic tool for Diabetic Retinopathy using a DenseNet121+ResNet50 hybrid model (91.2% accuracy), lesion segmentation with U-Net++/DeepLabV3+ (84.2% Dice), and Grad-CAM for interpretability. Built with Python, TensorFlow, OpenCV, Streamlit, and ONNX.

DeepSeek 🌱 is an AI app for real-time plant disease detection in UP, using MobileNetV2 (90%+ accuracy) across 11 diseases. It offers Grad-CAM heatmaps, severity analysis, bilingual guidance, weather insights 🌦️, and mobile-friendly FastAPI + TensorFlow Lite support for smart, eco-friendly farming.

A dual-headed deep learning model built using TensorFlow and Keras to classify fruit type (Apple, Banana, Guava, Orange) and their quality condition (Good or Bad) from images. The system includes Grad-CAM-based visual explanations and a responsive Streamlit web interface for real-time predictions using uploaded images or webcam input.

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Explainable AI skin lesion classification system built with TensorFlow, Grad-CAM, LIME and Streamlit.

Deep learning system for lung cancer classification from histopathology images using CNN, VGG16 & ResNet50 with Grad-CAM explainability · TensorFlow · Streamlit

This repository visualizes class activation maps for debugging deep neural networks using an algorithm called Grad-CAM in Keras and TensorFlow.