GitHub / baotramduong / Explainable-AI-Scene-Classification-and-GradCam-Visualization

We will build and train a Deep Convolutional Neural Network (CNN) with Residual Blocks to detect the type of scenery in an image. In addition, we will also use a technique known as Gradient-Weighted Class Activation Mapping (Grad-CAM) to visualize the regions of the inputs and help us explain how our CNN models think and make decision.

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Topics: cnn, computer-vision, deep-learning, grad-cam-visualization, resnet-18

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