
Explore Neural Style Transfer using GANs, including challenges, technicalities, and applications in gaming, fashion, and mobile apps. Learn about loss functions and see code examples.

Explore open-source Python library for image reconstruction in Axial Computed Tomography using Radon transforms. Learn about mathematical phantoms, sinograms, and reconstruction algorithms.

Explore Corona-Net: an open-source project for COVID-19 diagnosis and symptom segmentation using deep learning models like EfficientNet and U-Net on CT scans.

Explore how Python's scientific computing and data science applications are revolutionizing football, from tactical analysis to player insights, with potential for wider accessibility and impact.

Practical deep dive into advanced ML monitoring techniques, covering outliers, drift, explainers, and statistical performance for robust production deployment and scalability.

Learn to build real-time computer vision applications for browsers using Streamlit and streamlit-webrtc, with demos of object detection, speech-to-text, and style transfer.

Explore the journey of creating a LEGO brick recognition application using Python, covering dataset creation, machine learning approaches, and practical insights for implementation.

Explore image processing and OCR techniques to extract valuable information from visual data, unlocking potential applications across various fields and industries.

Practical applications of advanced analytics for business problems, including customer churn reduction, targeting, and segmentation. Learn from Microsoft's data scientists solving real-world challenges.

Explore Azure Cognitive Services' Vision category to enhance business decisions with AI models. Learn about Face API, Computer Vision, and Form Recognizer for practical AIaaS implementation.

Introduction to Azure's Computer Vision and Custom Vision APIs, covering basics, model creation, training, and implementation using Python in Azure Notebooks.

Explore machine learning techniques for building stable kernel trees, focusing on automated patch review and neural network applications in kernel development.

Explore Face Tracking and ARKit 2 to create personalized Memojis. Learn the technology behind iOS 12's animated emoji feature and implement custom facial animations in your apps.

Explore image super resolution using CoreML and Swift. Learn implementation, model training, and comparisons with conventional methods. Discover recent advancements in iOS machine learning.

Practical insights on developing a Deep Learning Android app, from data collection to production deployment using TensorFlow, with tips on choosing the right approach and best practices.

Discover how to enhance your app using pre-trained Machine Learning APIs for text, image, audio, and video analysis, with a live interactive demo showcasing practical applications.

Explore DeepBee: an innovative tool using deep learning for automatic honeybee colony assessment, streamlining the process of counting and classifying comb cells for beekeepers.

Explore an AI-powered image cropping system for online classifieds, enhancing thumbnail attractiveness and buyer engagement through deep learning and salient region identification.

Explore AI's impact on language, from recent breakthroughs to future possibilities, covering computer vision, natural language understanding, and feature learning.

Explore machine learning with TensorFlow.js through hands-on projects: build a digit classifier, develop a self-driving car using reinforcement learning, and create an image classifier for Angular applications.

Discover strategies to enhance app performance, including on-demand image loading, lazy loading in Angular, and hot module replacement, for more reliable and efficient applications.