Concept

Neural machine translation

Related lectures (32)

Covers coreference resolution, models, applications, challenges, and advancements in natural language processing.

Classical Language Models: Foundations and Applications

Introduces classical language models, their applications, and foundational concepts like count-based modeling and evaluation metrics.

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Covers advanced transformer concepts, focusing on pretraining and decoding techniques in NLP.

Thalamic Visual Prosthetics

Explores the potential of the LGN for artificial vision and the differences in stimulus encoding between thalamic and cortical representations.

Memory-Efficient Adaptive Optimization

Explores memory-efficient adaptive optimization for large-scale learning and the challenges of memory overhead in training large models.

Helping Humans: Neuroprosthetics

Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.

Charged Particle in Magnetic Field: Landau Levels

Explores charged particles in a magnetic field, focusing on Landau levels and translation generators.

Natural Language Generation: Understanding the Task and Techniques

Provides an overview of Natural Language Generation, focusing on tasks, challenges, and methodologies for creating coherent text.

Cognitive Maps in Rats and Men

Explores cognitive maps, reward systems, latent learning, attention mechanisms, and transformers in visual intelligence and machine learning.

Center of Mass: Properties and Theorems

Covers the center of mass properties, Newton's laws, and their applications in physics.

Transformers: Unifying Machine Learning Communities

Covers the role of Transformers in unifying various machine learning fields.

What are Digital Humanities?

Explores the concept of Digital Humanities, its evolution, impact on disciplinary boundaries, and global expansion.