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The Controller
Art of Control
World of Weights: Importance of Each Input
- Understanding how AI 'prioritizes' information
- The role of weights in neural network decision-making
- How different inputs contribute to final outputs
Intuition Behind the Weights in the Context of AI
- Gaining a feel for how these internal values guide AI decisions
- Visualizing weight distributions and their meanings
- Understanding the learning process through weight adjustments
A Simple Real-World Example to Understand Weights and Back-propagation
- Idea Behind Weight Adjustment in the Context of AI
- The fundamental concept of how AI learns by correcting its mistakes
- Step-by-step walkthrough of the learning process
Hands-on Python Code Exercises
- Coding simple weight adjustment mechanisms
- Implementing basic neural network components
- Experimenting with different weight initialization strategies
Vectors & Matrices
- Understanding the Beauty of Vectors
- The World of Matrices: Simplicity to Work with Vectors
- Mathematical foundations for neural network operations
Connecting the Dots Between Matrices and Neural Networks
- A Simple Example Using Matrices in the Context of Neural Networks
- Understanding how vectors combine to produce meaningful results
- Coding your first vector and matrix operations