Analysis
This article details an exciting journey into the fundamentals of AI, showing how one individual is tackling the complexities of AI engineering. The author's hands-on approach, starting with basic math and building up to neural networks, is inspiring and showcases a deep understanding of core AI concepts.
Key Takeaways
- •The author is building a self-aware AI Agent named Amadeus, aiming for full local control.
- •The learning journey emphasizes understanding the fundamentals of deep learning before using advanced libraries.
- •The project involves tackling challenges like matrix shape mismatches and gradient vanishing to gain a deeper understanding of AI systems.
Reference / Citation
View Original"Specifically, I started with a very primitive approach, not relying on the magic of convenient libraries like PyTorch and TensorFlow, but understanding the basic calculations of deep learning (from forward propagation to backpropagation using the chain rule of differentiation) and then implementing a single-layer neuron from scratch using only Math, and then implementing XOR completely from scratch using only Numpy."