In modern machine learning, optimization algorithms are crucial; they steer the training process by skillfully navigating through complex, high-dimensional loss landscapes. Among these, stochastic ...
In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...
Neural networks need the right representations of input data to learn. Here we ask how gradient-based learning shapes a fundamental property of representations in recurrent neural networks ...
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