- The course focuses only on small-scale networks for learning purposes.
- It does not cover GPU acceleration or large deep learning models.
- Optimization is shown through learning rates, epochs, and simple tuning.
- For large-scale AI, you’ll need to transition into frameworks like PyTorch or TensorFlow.
- The course ensures you understand the basics so scaling later feels natural.
