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• Self-attention Mechanisms: Self-attention mechanisms are a type of attention mechanism in deep learning that allow a model to weigh the importance of different parts of its own input when producing a single output. This is achieved by computing a weighted sum of the ... Read More >>
• Posterior Probability: In Bayesian statistics, posterior probability is the probability of a hypothesis or model given the observed data. It is calculated using Bayes' theorem, which involves multiplying the prior probability of the hypothesis by the likelihood o ... Read More >>
• Laser-based Sensors: Laser-based sensors are devices that use laser technology to detect and measure physical properties such as distance, position, velocity, and temperature. These sensors emit a laser beam that interacts with the target object and measures th ... Read More >>