Artificial Intelligence Basics 1. How Has Artificial Intelligence Evolved From Symbolic AI To Deep Learning? 2. Basics of Artificial Intelligence: Concept, Brief History, Components 3. Key Building Blocks of Machine Learning – Features and Labels 4. One-Hot and Ordinal Encoding for Features and Labels Neural Network Basics 1. Understanding Linear and Non-linear Activation Functions in Deep Learning 2. How to Understand and Implement Neural Networks: A Step-by-Step Guide 3. How to Choose the Best Activation Functions for Hidden Layers and Output Layers in Deep Learning 4. Understanding Optimization Algorithms In Deep Learning 5. How to Train a Neural Network with One Parameter 6. How to Train a Neural Network with Multiple Parameters 8. How to Detect Vanishing Gradients in Neural Networks 9. How to Detect Exploding Gradients in Neural Networks 10. How to Fix the Vanishing Gradient Problem Using ReLU 11. Loss Functions for Regression and Classification in Deep Learning 12. Overfitting, Underfitting, and Model’s Capacity in Deep Learning 13. Regularization Techniques to Prevent Model Overfitting 14. How To Choose Train Validation and Test Sets For Your Model? Convolution Neural Networks 1. What is Convolution In Convolution Neural Network (CNN)? 2. How to Use Convolutional Layer In Convolution Neural Network? Computer Vision 1. Exploring Different Image Tasks For Your Next Project 2. Exploring Different Learning Approaches in Computer Vision Exploring 3D Slicer Image Viewer Tool – Tutorial Series 1. Download and Install 3D Slicer 2. Visualize 3D Images Using 3D Slicer View Controllers Module 3. How to Read and Visualize Various Image Formats with 3D Slice 4. Overlaying Images Using 3D Slicer 5. How to Segment with 3D Slicer: Manual, Semi-Automatic, and Automatic Techniques 6. Co-Registration Made Easy with 3D Slicer
