Related lectures (32)
Generative Models: Self-Attention and Transformers
Covers generative models with a focus on self-attention and transformers, discussing sampling methods and empirical means.
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Covers the Boltzmann Machine, a type of stochastic recurrent neural network.
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Explores biosignals like Pulse Oximetry, EEG, EMG, and Blood Pressure monitoring, emphasizing their significance in healthcare and technology.
Neural Signals and Signal Processing
Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.
DC Motor, Characteristic EquationsMOOC: Conversion electromécanique II
Explores the characteristic equations of a DC motor and their impact on motor performance.
Brain Anatomy
Covers the divisions of the nervous system, brain structure, cranial nerves, and brain conditions.
Compact Manifolds Classification
Covers the classification of compact p-adic manifolds using the C.o.V-formula and explores smooth algebraic varieties and Hensel's lemma.
Neural System Organization
Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.
Thermally Activated Dislocation Motion
Explores thermally activated dislocation motion and physically based constitutive models in materials at high strain rates.
Veins Anatomy: Upper Body Circulation
Explores the anatomy of upper body veins and jugular veins.

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