A Coding Implementation to Build and Train Advanced Architectures with Residual Connections, Self-Attention, and Adaptive Optimization Using JAX, Flax, and Optax

Advanced neural network tutorial exploring JAX, Flax, and Optax for building deep architectures with residual connections and self-attention mechanisms, demonstrating efficient and modular deep learning implementation techniques.