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Related lectures (20)
Scientific Machine Learning: Optimal Errors
Explores optimal errors in high-dimensional models, comparing algorithms and shedding light on the interplay between model architecture and performance.
Enterprise and Service-Oriented Architecture: Solutions for Business IT Alignment
Explores solutions for business IT alignment through enterprise and service-oriented architecture.
Neural Networks Optimization
Explores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.
Understanding Visual Cortex with Deep Learning Models
Explores using deep learning models to understand the visual cortex and sensory portraits.
Neural Networks: Regularization & Optimization
Explores neural network regularization, optimization, and practical implementation tips.
Geometry: Introduction to Architectural Geometry
Explores the historical and practical applications of geometry in architecture, emphasizing key geometric principles in architectural design.
Stereographic Projection and Metric Tensors
Explores stereographic projection and metric tensors on hyperbolic planes, emphasizing isometry and conforming models.
Systems Engineering: Introduction and Stakeholders
Introduces Systems Engineering, emphasizing stakeholder analysis and clear requirement definition for project success.
Service-Oriented Architecture: Business Alignment Solutions
Explores solutions for business and IT alignment, traceability, regulation heuristics, the Light Aviation Market case study, Solar System evolution, system definition, and epistemological perspectives.
Graph-to-Graph Transformers: Syntax-aware Graph Encoding
Introduces the Syntax-aware Graph-to-Graph Transformer architecture for effective conditioning on syntactic dependency graphs.