Alexander Amini Courses

Deep Learning New Frontiers

Explore deep learning limitations and new frontiers, including expressivity, generalization, failure modes, uncertainty, adversarial attacks, and emerging areas like graph learning and AutoML.

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

Reinforcement Learning

Comprehensive exploration of deep reinforcement learning, covering Q-functions, policy gradients, and real-world applications like AlphaGo. Ideal for understanding RL fundamentals and advanced concepts.

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

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications like object detection and self-driving cars.

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

Introduction to Deep Learning

Comprehensive introduction to deep learning fundamentals, covering perceptrons, neural networks, loss functions, gradient descent, backpropagation, and regularization techniques for building effective models.

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

Machine Learning for Scent

Explore machine learning applications in digitizing scent, from understanding olfactory processes to predicting odor descriptors using graph neural networks and interpreting molecular fragrance data.

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

MIT: Neural Rendering

Explore neural rendering techniques, from forward and inverse rendering to 3D data representations, with insights on RenderNet, neural point-based graphics, and HoloGAN in this comprehensive lecture.

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

Generalizable Autonomy for Robot Manipulation

Explore generalizable autonomy in robot manipulation through imitation learning, visuo-motor policies, and reinforcement learning techniques. Discover innovative approaches for achieving adaptable and efficient robotic systems.

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

Deep Learning New Frontiers

Explore deep learning limitations and new frontiers, including expressivity, generalization, adversarial attacks, uncertainty, and AutoML. Gain insights into cutting-edge developments in neural networks.

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

Reinforcement Learning

Explore deep reinforcement learning concepts, from Q-functions to policy gradients, with applications in Atari games, real-world scenarios, and groundbreaking AI like AlphaGo.

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

Deep Generative Modeling

Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI.

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

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, network architecture, and real-world applications like self-driving cars in this comprehensive lecture.

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

MIT: Image Domain Transfer - NVIDIA Guest Lecture

Explore image domain transfer techniques, from artistic style transfer to multimodal translations, with applications in photo smoothing, seasonal transformations, and game engines.

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

Biologically Inspired Neural Networks

Explore biologically plausible learning algorithms for neural networks, inspired by brain function. Discover synaptic plasticity rules and their application in deep learning architectures.

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

MIT 6.S191 - Deep Learning Limitations and New Frontiers

Explore deep learning limitations, adversarial attacks, uncertainty quantification, and AutoML in this lecture. Gain insights into neural network challenges and emerging frontiers in AI research.

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

MIT: Deep Reinforcement Learning

Explore deep reinforcement learning concepts, algorithms, and applications, including Q-learning, policy gradients, and breakthroughs like AlphaGo and AlphaZero in game AI.

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