58 Resources To Help Get Started With Deep Learning ( In TF )

Artificial Neural Networks are systems inspired by biological neurons and are used to solve complex problems, as they have the unique ability to approximate functions, which map the inputs to their labels. The following topic which DL folks call "backpropagation" is a serial killer for many ML beginners. It roams around with creepy weapons like partial derivatives, chain rule, so beginners with weak mathematics are advised. Backpropagation is used to optimize the parameters of ML models, which aims to find a minimum for the given cost function. Having a strong understanding of how backpropagation works under the hood, is essential in deep learning.