Application-of-Soft-computing
Comprehensive Understanding Notes + In-Depth Explanation + Best Python Code Examples (2025 Standards)
Welcome to Application-of-Soft-computing
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About This Course
Comprehensive Understanding Notes + In-Depth Explanation + Best Python Code Examples (2025 Standards)
What You'll Learn
- GELU > Swish > ReLU > Tanh > Sigmoid
- Evolving Neuro-Fuzzy Systems – The 2025 Frontier of Self-Adaptive AI
- Neuro-Fuzzy Systems – The Ultimate 2025 Hybrid Intelligence
- Unit V: Genetic Algorithms (GA)
- Fuzzy Logic in Autonomous Driving – 2025 Real-World Deep Dive
- Unit IV: Fuzzy Logic – II (Membership Functions & Rules)
- Unit III: Fuzzy Logic – I (Introduction)
- Deep Dive into FlashAttention-2: The IO-Aware Attention Revolution (2023–2025 Edition)
- Ultimate 2025 Guide: All Attention Mechanisms in Transformers
- Ultimate 2025 Comparison: Activation Functions in Transformers
- Unit I: Neural Networks – I
- Data Defect Image Transformer – Complete 2025 Production-Ready Implementation
- Swin Transformer Window Attention – Deep, Intuitive & Mathematical Explanation
- Swin Transformer – Full Production-Ready PyTorch Implementation (2025 Standard)
- Vision Transformer (ViT) – Full Production-Ready PyTorch Implementation (2025 Standard)
- Complete ResNet Implementation in PyTorch (2025 Production-Ready Code)
- Vanishing Gradient Problem
- Unit II: Neural Networks – II (Backpropagation Networks)
- Backpropagation In-Depth – The Heart of Deep Learning