Build neural networks from scratch, then deploy production architectures (ResNet, EfficientNet) on geospatial imagery. 17 structured lessons that take you from zero to deploying real models. You get:
17 Self-Paced Lessons: Build an ANN from raw NumPy, train CNNs on satellite imagery, and implement ResNet and EfficientNet on your own data.
Complete Code Repository: Every lesson includes production-ready Python scripts, Jupyter notebooks, and pre-processed geospatial datasets.
3 Full Projects: Classify terrain from aerial images, segment land cover from satellite data, and deploy a neural network on real-world LiDAR scenes.
24/7 Direct Support: Stuck on a training loop or a data pipeline? Get direct email support from the instructor.
Lifetime Access + Commercial License: Use every script, model, and dataset in your professional work. All future updates included.
14-day Money Back Guarantee
