Optimization in Deep Learning (EE-0110)

Spring 2027 · EE 0110 · Tufts University · 3 credits · Undergraduate

Key optimization techniques in deep learning. Topics include gradient descent, stochastic gradient descent, momentums, initialization, learning rate adaptation, normalizations, regularization, activations, second-order methods, and meta-learning. Application in deep learning tasks via mini-projects.

Course codes: EE-0110, EE 0110, EE0110, EE-110, EE 110, EE110, CS-0130, CS 0130, CS0130, CS-130, CS 130, CS130

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