Model Optimization Courses and Certifications

tinyML

Hardware Aware Training for Efficient Keyword Spotting - tinyML Research Symposium 2021

Explore hardware-aware training for efficient keyword spotting, focusing on Legendre Memory Unit networks to achieve state-of-the-art accuracy and power efficiency on various hardware platforms.

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

tinyML

Embedded Machine Learning in the Real World

Explore embedded ML applications, challenges, and opportunities in real-world scenarios, focusing on tiny models, accelerated hardware, and practical tooling.

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

tinyML

Tiny but Powerful: Hardware for High Performance, Low Power Machine Learning

Explore cutting-edge hardware for ultra-low power machine learning at the edge, covering TinyML applications, model optimization, and emerging trends in efficient computing.

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

1littlecoder

XGBoost and Data Leakage in Machine Learning - Day 14 of 30 Days of ML

Explore XGBoost and data leakage in machine learning. Learn to build optimized models, prevent leakage issues, and enhance your ML skills with practical tutorials and exercises.

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

Data Science Dojo

Text Analytics Crash Course with R

Learn text analytics fundamentals, data processing, machine learning models, and visualization techniques using R. Master handling big data and optimizing models for valuable insights from unstructured text.

• YouTube
• 6 hours 9 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP - Debugging Neural Nets

Learn techniques for identifying and resolving issues in neural networks for NLP, covering training and test-time problems, optimization strategies, and performance analysis.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Graham Neubig

Debugging Neural Nets for NLP

Comprehensive guide to diagnosing and resolving issues in neural networks for NLP, covering training, decoding, overfitting, and optimization techniques.

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

Alan Turing Institute

Reinforcement and Mean-Field Games in Algorithmic Trading - Sebastian Jaimungal

Explore reinforcement learning and mean-field games in algorithmic trading, covering deep Q-learning, reinforced deep Kalman filters, and heterogeneous agent interactions with differing beliefs in financial markets.

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

Valerio Velardo - The Sound of AI

Audio Processing in Keras with Kapre

Learn to process audio in Keras using Kapre, exploring its advantages, features, and implementation. Discover how to embed audio transformations within deep learning models for optimized GPU-based calculations and easier deployment.

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

tinyML

Train One Network and Specialize It for Efficient Deployment

Explore efficient neural network deployment across diverse devices using the Once-for-All network approach, which enables quick specialization without retraining and outperforms state-of-the-art methods on edge devices.

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

Nvidia

NVIDIA Tools for Training and Deploying Intelligent Vision Applications at the Edge

Discover tools for training, building, and deploying intelligent vision applications at the edge using NVIDIA's suite for video analytics pipelines and IoT devices.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Nvidia

Inference and Quantization for AI - Session 3

Explore quantized inference, TensorRT 5, and TensorFlow integration for AI model optimization. Learn about NVIDIA's inference server and techniques to improve model efficiency and performance.

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

tinyML

1 kB and Not a Bit More - The Ideal Weight for a TinyML Model

Explore automated creation of ultra-compact ML models for tiny smart devices, enabling efficient embedding in memory-constrained hardware without data science expertise.

• 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

tinyML

Tiny Models with Big Appetites: Cultivating the Perfect Data Diet for Computer Vision

Explore techniques for curating optimal training datasets and designing sampling strategies for tiny computer vision models, emphasizing data quality and model robustness in real-world environments.

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