MIT HAN Lab Courses

EfficientML.ai - Quantization Part I - Lecture 5

Explore quantization techniques for efficient machine learning, covering fundamental concepts and practical applications in neural network optimization.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Pruning and Sparsity in Machine Learning - Part II - Lecture 4

Explore advanced pruning techniques and sparsity concepts for efficient machine learning, focusing on practical applications and cutting-edge research.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Pruning and Sparsity in Machine Learning - Part II - Lecture 4

Explore advanced pruning techniques and sparsity concepts for efficient machine learning, focusing on practical applications and cutting-edge research in neural network optimization.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Pruning and Sparsity in Machine Learning - Part I

Explore pruning and sparsity techniques in machine learning, focusing on improving model efficiency without sacrificing performance. Learn key concepts and practical applications.

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

Basics of Neural Networks - EfficientML.ai Lecture 2

Explore neural network fundamentals, including architecture, training, and optimization techniques, in this comprehensive MIT lecture on efficient machine learning.

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

EfficientML.ai - Basics of Neural Networks - Lecture 2

Explore neural network fundamentals, including architecture, training, and optimization techniques. Gain insights into efficient machine learning concepts and applications.

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

EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

Explore efficient machine learning techniques and their applications in this comprehensive introduction to EfficientML.ai from MIT's Prof. Song Han.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

Explore efficient machine learning techniques and their applications in this introductory lecture from MIT's EfficientML course.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Efficient Deep Learning Computing: From TinyML to Large Language Models

Explore cutting-edge research on efficient deep learning, from TinyML to large language models. Gain insights into quantization techniques and their industry applications.

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

Noise Robust Quantum Machine Learning - Lecture 23

Explore noise-robust quantum machine learning techniques, focusing on overcoming challenges in quantum systems for improved ML performance and reliability.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Noise Robust Quantum Machine Learning - Lecture 23

Explore noise-robust quantum machine learning techniques, focusing on mitigating errors in quantum systems for improved ML performance.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Quantum Machine Learning - Lecture 22

Explore quantum machine learning concepts and applications in this advanced lecture from MIT's EfficientML.ai series, covering cutting-edge developments in the field.

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

Quantum Machine Learning - Lecture 22

Explore quantum machine learning concepts and applications in this advanced MIT lecture, covering cutting-edge developments in the field.

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

Basics of Quantum Computing - Lecture 21

Explore quantum computing fundamentals, including qubits, superposition, entanglement, and quantum algorithms, to understand its potential impact on machine learning and computation.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Basics of Quantum Computing - Lecture 21

Explore quantum computing fundamentals, including qubits, superposition, and entanglement. Gain insights into quantum algorithms and their potential impact on machine learning.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video