Neural Architecture Search Courses and Certifications

AutoML Seminars

Multi-objective Differentiable Neural Architecture Search

Explore advanced techniques in neural architecture optimization across multiple objectives and hardware devices, focusing on Pareto front profiling and hypernetwork-based solutions.

• YouTube
• 43 minutes
• On-Demand
• Free Video

AutoML Seminars

Neural Fine-Tuning Search for Few-Shot Learning

Explore advanced neural architecture search techniques for optimizing few-shot learning adaptation strategies, focusing on meta-training and meta-testing trade-offs in multi-domain contexts.

• YouTube
• 30 minutes
• On-Demand
• Free Video

AutoML Seminars

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face-Recognition

Explore groundbreaking research on addressing bias in face recognition systems through neural architecture optimization, revealing how architectural choices impact fairness more than data preprocessing alone.

• YouTube
• 41 minutes
• On-Demand
• Free Video

AutoML Seminars

AutoMoE - Neural Architecture Search for Efficient Sparsely Activated Transformers

Discover how Neural Architecture Search optimizes Transformer models through sparse activation, achieving 4x FLOP reduction while maintaining performance in machine translation tasks.

• YouTube
• 47 minutes
• On-Demand
• Free Video

AutoML Seminars

Challenges of Federated and Zero-Cost Neural Architecture Search

Explore advanced neural architecture search techniques, focusing on federated settings and zero-cost searching algorithms through weight sharing and efficient subnet discovery methods.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

MIT HAN Lab

Neural Architecture Search Part II - Lecture 8

Explore advanced neural architecture search techniques, including evolutionary algorithms and reinforcement learning for optimizing deep learning models.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

MIT HAN Lab

Neural Architecture Search Part II - Lecture 8

Explore advanced neural architecture search techniques, including evolutionary algorithms and reinforcement learning, to optimize deep learning models for efficiency and performance.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

MIT HAN Lab

Neural Architecture Search Part I - Lecture 7

Explore neural architecture search techniques for optimizing deep learning models, focusing on automated design and efficiency in AI systems.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

MIT HAN Lab

Neural Architecture Search Part I - Lecture 7

Explore neural architecture search techniques for optimizing deep learning models, covering fundamental concepts and cutting-edge approaches in AI efficiency.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

AutoML Seminars

GRAF - Performance Prediction with Neural Graph Features

Discover how neural graph features can predict network performance through GRAF - a topological approach that matches zero-cost proxies while offering better interpretability and consistency across tasks.

• YouTube
• 39 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Advancing Medical Imaging Analysis with Multi-task and Hardware-Efficient Neural Architecture Search

Discover how neural architecture search optimizes AI models for edge-deployed medical imaging analysis, combining multi-task learning with hardware efficiency for real-time healthcare diagnostics.

• YouTube
• 58 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Neural Architecture Search for Tiny Devices - Optimizing Deep Neural Networks for Edge Platforms

Delve into automated neural architecture search techniques for edge devices, exploring optimization strategies for creating efficient, accurate deep learning models with minimal resource requirements.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Data Aware Neural Architecture Search for Resource Constrained Systems

Explore how Data Aware Neural Architecture Search optimizes neural networks for resource-constrained systems by considering input data granularity alongside traditional performance metrics.

• YouTube
• 14 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Leveraging Automated Model Discovery for Edge Devices

Discover cutting-edge techniques for automated model discovery and optimization on resource-constrained edge devices, focusing on efficient AI deployment and performance enhancement.

• YouTube
• 16 minutes
• On-Demand
• Free Video

MLOps for Scaling TinyML

8 ratings at edX

This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

• edX
• 7 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)