Leaf Tracking, Counting and Occlusion in Plants Using Artificial Neural Networks
Discover how to implement artificial neural networks for plant leaf analysis, including tracking, counting, and handling occlusion through advanced image processing techniques.
Deploying Deep Learning Models for Inference at Production Scale
Optimize and deploy AI models at scale using NVIDIA TensorRT and Triton Inference Server. Learn production-ready techniques for efficient inference across various platforms and infrastructures.
Advanced Python Libraries for Data Science
Explore advanced Python libraries for data science, focusing on scikit-learn, TensorFlow, and PyTorch Geometric. Learn implementation, methodologies, and practical applications through code exercises.
Deep AutoViML for TensorFlow Models and MLOps Workflows
Explore Deep AutoViML for building powerful TensorFlow models and MLOps workflows. Learn to fast prototype data pipelines and models using TF 2.4+ and Keras preprocessing layers.
EfficientML.ai - Quantization Part II - Lecture 6
Explore advanced quantization techniques for efficient machine learning, including post-training and quantization-aware training methods.
EfficientML.ai: Quantization Part II - Lecture 6
Explore advanced quantization techniques for efficient machine learning, covering post-training and quantization-aware training methods to optimize model performance.
Developer Transition: Machine Learning to Quantum Machine Learning
Explore quantum machine learning frameworks, tools, and resources to transition from classical ML. Gain insights into QML algorithms, simulators, and future developments in the field.
How to Select the Correct QML Loss Function and Optimizer
Explore loss functions and optimizers for quantum machine learning libraries. Learn to choose optimal parameters for accurate predictions and efficient model convergence in QML applications.
QML/QiML Technology for Medical Regulatory Agency Review - November 9, 2023
Explore QML/QiML technology for medical regulatory review, covering key organizations, fundamental areas, and specific medical research applications. Gain insights into FDA guidelines and next steps.
Advanced PyTorch and TensorFlow Deep Learning with QML and QiML Layers
Incorporate quantum algorithms into machine learning frameworks using PyTorch and Keras. Learn benchmarking, strategic layer insertion, and explore potential applications with quantum layers.
The Centralization of Power in AI - MLOps Podcast Episode 181
Explore AI power centralization, language limitations, and open-source initiatives. Gain insights on AI transparency, accountability, and the evolving landscape of machine learning frameworks.
From Concept to Production - Template for the Entire Machine Learning Journey
Develop a production-ready ML pipeline from concept to deployment, covering data prep, model training, and orchestration using Kubeflow on Google Cloud Platform's Vertex AI.
All-in-One Artificial Intelligence Full Course 2024 - AI Tutorial for Beginners
Comprehensive exploration of AI, covering neural networks, deep learning, computer vision, NLP, and generative AI. Includes hands-on demos and real-world applications for beginners to advanced learners.
Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection
Explore FrameFlip, a groundbreaking attack method that depletes DNN model inference through single-bit fault injections, demonstrating universal effectiveness across major machine learning frameworks.