A detailed article that provides a crash course in the terminology and processes used in the field of multi-layer perceptron artificial neural networks. It covers neurons, weights, activations, and how networks of neurons are trained.
A 7-day crash course designed to get developers started with function optimization in Python. It covers topics like grid search, SciPy optimization algorithms, BFGS, hill-climbing, simulated annealing, and gradient descent.
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