In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

“When I go very fast and attack the downhill, I take a risk,” says four-time Grand Tour winner Vincenzo Nibali. “It’s normal. It’s my work.” “You play with your life,” adds Fabian Cancellara, one of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

A custom neural network architecture for trajectory prediction in autonomous systems, implemented from scratch in Python using NumPy. This project features optimized gradient descent algorithms and ...

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Abstract: In this paper, a comparative analysis of optimization algorithms for artificial neural networks widely used in the fields of machine learning and deep learning was conducted. Beyond the ...