Reti convoluzionali, diffusion models, GAN, adversarial attacks e architetture per la visione artificiale.
- Convoluzioni, pooling, padding e strides
- Residual networks e identity mappings
- Diffusion models e flow matching
- Generative Adversarial Networks (GAN)
- Adversarial attacks e robustezza
- Neural Radiance Fields (NeRF)
- Convolution, Filters, and Feature Maps in Python.md
- Introduction to Padding, Strides, and Pooling in Deep Learning with Python.md
- Introduction to Diffusion Models in Python.md
- Generative Adversarial Networks in Python.md
- Adversarial Attacks on Neural Networks.md
- Identity Mappings in Deep Residual Networks with Python.md