Explainable AI: Scene Classification and GradCam Visualization
Completed by Kai Sheng Bock
July 23, 2024
1 hours (approximately)
Kai Sheng Bock's account is verified. Coursera certifies their successful completion of Explainable AI: Scene Classification and GradCam Visualization
What you will learn
Understand the theory and intuition behind Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs)
Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend
Visualize the Activation Maps used by CNN to make predictions using Grad-CAM and Deploy the trained model using Tensorflow Serving
Skills you will gain
- Category: Spatial Data Analysis
- Category: Model Training
- Category: Computer Vision
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Image Analysis
- Category: Keras (Neural Network Library)
- Category: Python Programming
- Category: Model Evaluation
