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Master Optimization in Deep Learning | SGD, NAG, Adagrad, RMSprop, Adam
Optimization functions help train machine learning models by minimizing loss and updating weights efficiently. This includes techniques like Gradient Descent, Momentum, Adagrad, RMSProp, and Adam, which improve convergence and performance. --- 💻 Source Code & Notebooks: https://github.com/edumentordeepti/For-Youtubers --- ⏱️Chapter ...
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