Deep Learning Foundations

• Neural networks
• Training and optimization
• Deeper neural networks
  • Convolutional neural nets
  • Recurrent neural networks
  • Self-attention
• Generative models
  • Latent variable models
  • Flow generative models
  • Variational Autoencoders
  • Generative adversarial networks (GAN)
  • Diffusion models
• Learning paradigms
  • Self-supervised learning
  • Contrastive learning
  • Multi-task learning
  • Meta-learning
• Adversarial Attacks and defenses

Learn about deep neural network architectures and learning paradigms and learn to deploy them using PyTorch.