Deep Generative Models Courses and Certifications

Alexander Amini;  MIT

Deep Generative Modeling

1 rating

Explores how deep neural networks learn latent structure from unlabeled data to generate synthetic examples, including VAEs, GANs, and unpaired domain translation.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Deep Generative Modeling

Explore how variational autoencoders and generative adversarial networks learn latent distributions to synthesize and transform data.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

Sound Generation with Deep Learning - Approaches and Challenges

Explore how deep learning systems generate sound from raw audio and spectrograms, including their representations, architectures, and challenges.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

TensorFlow

Generative Adversarial Networks and Stable Diffusion

Learn how GANs train and use Keras to create custom text-to-image images with Stable Diffusion.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Deep Fake Images and Video with SimSwap

A hands-on SimSwap tutorial for installing a pretrained model and applying GAN-based face swaps to images and video with Python.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Alfredo Canziani

AE, DAE, and VAE with PyTorch - Generative Adversarial Networks and Code

Train autoencoders, denoising autoencoders, variational autoencoders, and GANs in PyTorch while comparing their generative and energy-based models.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence - Lecture 1

1 rating

An introductory lecture framing programming projects, academic paper work, and GPT-based text and image generation.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Alexander Amini

Deep Generative Modeling

Explore deep generative modeling through variational autoencoders, generative adversarial networks, latent representations, disentanglement, and unpaired image translation.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Data Science Dojo

Deep Learning with KNIME - Future of Data & AI

Use KNIME’s Keras integration to build an LSTM text generator, create images with GANs, and apply neural styling to a profile picture.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Deep Generative Models - Lecture 5: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Deep Generative Models - Energy Based Models - Lecture 12

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights into this powerful approach for modeling complex data distributions.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Deep Generative Models - Energy Based Models - Lecture 14

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights from Stanford's expert on advanced generative modeling techniques.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Serrano.Academy

Generative Models

A friendly introduction to generative modeling through denoising and variational autoencoders, GANs, and restricted Boltzmann machines.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Black Hat

The Devil is in the GAN - Defending Deep Generative Models Against Adversarial Attacks

Examines training-time backdoor attacks on deep generative models and defenses for detecting compromised models.

• YouTube
• 39 minutes
• Self-Paced
• Conference Talk

Lennart Svensson

Deep Generative Models and Stable Diffusion: Revolution in Visual Synthesis - Lecture by Björn Ommer

A lecture on diffusion models for visual synthesis, emphasizing latent diffusion and Stable Diffusion’s efficiency gains on consumer GPUs.

• YouTube
• 36 minutes
• Self-Paced
• Free Video