PyTorch Deep Learning Masterclass: GANs, Autoencoders & Diffusion
With an emphasis on generative AI methods like GANs, Autoencoders, VAEs, and Diffusion Models, this free Cursa masterclass teaches you how to create and train contemporary deep learning models using PyTorch.
Convolutional neural networks (CNNs) are used for computer vision applications when you have mastered the basics of PyTorch (tensors, training loops, autograd). After that, generative models—which teach you how machines generate new data, such as images, from noise or learned representations—become a major focus of the course.
It also addresses more complex subjects like:
- GANs for producing realistic images
- VAEs and autoencoders for compressed latent representations
- Diffusion models for producing high-quality images
- Sequence modeling and transformers for NLP and vision
- Real-world AI operations and practical implementation
By the conclusion, you have practical expertise using PyTorch to develop end-to-end deep learning systems for generative AI, vision, and language.
- Provider/Creator: Cursa
- Platform: Cursa
- Category: GANs & Diffusion
- Level: Intermediate
- Duration: 18 Hours
- Certificate: Free Certificate
- Rating: ⭐ New/Highly Rated
- Direct Course Link: PyTorch Deep Learning Masterclass: GANs, Autoencoders & Diffusion
- Recommended For: PyTorch developers