Quantization Courses and Certifications

Cubase Pro 10 Essential Training: Editing and Mixing

15 ratings at LinkedIn Learning

Learn the advanced features and workflows in Cubase Pro 10 for recording, performing, mixing, and producing music of all kinds.

• LinkedIn Learning
• 4-5 hours
• On-Demand
• Free Trial Available

Harvard CMSA

Quantizations of Nilpotent Orbits and Their Lagrangian Subvarieties

Delve into advanced mathematical concepts exploring quantizations of nilpotent orbits and their relationship with Lagrangian subvarieties in representation theory.

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

Open Data Science

Deploying Optimized Deep Learning Pipelines

Survey of deep learning pipeline optimization techniques, exploring quantization, distillation, and math library selection. Discusses trade-offs for deployment and provides insights for efficient ML implementation.

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

USENIX

BatchCrypt - Efficient Homomorphic Encryption for Cross-Silo Federated Learning

Efficient homomorphic encryption system for cross-silo federated learning, reducing encryption and communication overhead while maintaining privacy and accuracy in collaborative machine learning.

• YouTube
• 23 minutes
• On-Demand
• Conference Talk

USENIX

Check-N-Run - A Checkpointing System for Training Deep Learning Recommendation Models

Innovative checkpointing system for large ML models, reducing bandwidth and storage needs through differential checkpointing and quantization techniques without compromising training accuracy.

• YouTube
• 16 minutes
• On-Demand
• Conference Talk

Valerio Velardo - The Sound of AI

Understanding Audio Signals for Machine Learning

Explore audio digital signals, analog-to-digital conversion, and key concepts like sampling, quantization, and aliasing for machine learning applications.

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

Databricks

Scaling Up AI Research to Production with PyTorch and MLFlow

Explore PyTorch's latest advancements in AI research and production, including distributed training, model optimization, and deployment using MLFlow, with insights on scaling and efficiency.

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

Meta

Building a Mobile AI Platform at Facebook - F8 2019

Explore Facebook's approach to mobile AI, covering NLP, video, ASR, and content understanding. Learn about challenges, techniques, and optimizations for edge deployment.

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

tinyML

Power Efficient Neural Network Based Hardware Architecture for Biomedical Applications

Power-efficient neural network hardware architecture for biomedical applications, focusing on sleep apnea detection using ECG and SpO2 data. Introduces SABiNN technique for reduced power consumption and compact design while maintaining accuracy.

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

tinyML

Continual On-Device Learning on Multi-Core RISC-V Microcontrollers

Explore continual on-device learning for multi-core RISC-V microcontrollers, focusing on system architecture, memory-energy-accuracy trade-offs, and efficient implementation of backpropagation techniques using latent replays.

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

tinyML

Optimizing Data-Flow in Binary Neural Networks

Explore optimizing data flow in Binary Neural Networks, focusing on hardware efficiency, quantization techniques, and accuracy improvements for embedded systems.

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

tinyML

Autonomous Nano-UAVs: An Extreme Edge Computing Case

Exploring autonomous nano-UAVs as extreme edge computing cases, focusing on onboard intelligence, machine learning techniques, and full-stack solutions for navigation and human-robot interaction in resource-constrained environments.

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

tinyML

TinyML Auto ML Deep Dive: GAPflow - From TFLite and ONNX to Optimized C Code

Explore GAPflow: transform neural networks into optimized C code for ultra-low-power GAP processors. Learn quantization, validation, and memory allocation for efficient AI deployment on energy-constrained devices.

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

tinyML

On-Device Learning Under 256KB Memory - Challenges and Solutions for IoT Devices

Explore on-device learning for IoT devices with limited memory. Learn techniques for efficient model adaptation, quantization-aware scaling, and sparse updates to enable continuous learning on tiny hardware.

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

tinyML

On-Device Speech Models Optimization and Deployment for Mobile Hardware

Explore on-device speech model optimization and deployment, covering streaming-aware design, quantization techniques, and benchmarks for popular speech processing model topologies on mobile platforms.

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