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Related lectures (27)
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Image Processing Fundamentals
Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
Memory Management & Crash Programs
Covers memory management for engineers, focusing on crash programs related to memory access errors.
Untitled
Natural Language Processing: Understanding Transformers and Tokenization
Provides an overview of Natural Language Processing, focusing on transformers, tokenization, and self-attention mechanisms for effective language analysis and synthesis.
Introduction to Machine Learning
Covers the basics of machine learning, including supervised and unsupervised learning, linear regression, and classification.
Contextual Representations: ELMo & BERT
Explores the development of contextualized embeddings in NLP, focusing on ELMo and BERT's advancements and impact on NLP tasks.
Image Processing Fundamentals
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.