Machine Learning for Engineering & Science Applications | IIT Madras - #97 Applications | Cardiac MRI Analysis | Tensorflow Code Walkthrough

Welcome to 'Machine Learning for Engineering & Science Applications' course ! Ready to get hands-on with deep learning for medical image analysis? This lecture provides a comprehensive code walkthrough using Tensorflow. We'll dive into the details of a real-world cardiac MRI analysis project, exploring the code structure and implementation. From data preprocessing and loading to building the CNN model and training it, you'll gain practical insights into each step. We'll also discuss how to evaluate the model's performance, visualize results using TensorBoard, and even upload your results to challenge websites. By the end, you'll be equipped to run the code yourself, experiment with different parameters, and perhaps even contribute to the advancement of automated cardiac diagnosis. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #CardiacMRIAnalysis #Tensorflow #CodeWalkthrough #Dataset #ACDCChallenge #STACOM #KaggleDataScienceChallenge #SegmentationResults #AutomatedDiagnosis #FeatureExtraction #ClassifierSelection #TwoStageClassification #PerformanceEvaluation #Github