Teaching
Courses I taught in inzva's Google Developers Machine Learning Bootcamp and Deep Learning Study Group. The bundles I created are textbook-like resources that cover the course topics.
Generative AI: Variational Autoencoders (VAEs) and Diffusion Models
- Generative Modeling & Generation Task
- Autoencoders
- Variational Autoencoders (VAEs)
- Evidence Lower Bound (ELBO)
- Diffusion Models
- Latent Diffusion Models
- Guidance
Hyperparameter Tuning and Regularization Techniques for Deep Neural Networks
- Data Splitting
- Bias and Variance
- L1 and L2 regularization
- Dropout Regularization
- Input Normalization
- Data Augmentation
- Vanishing & Exploding Gradients
More information on inzva’s Deep Learning Study Group can be found here.