4. Gradient Descent: Discovering Adam Optimizer
🚀 Implementation of ADAM In earlier posts, we implemented a momentum-based optimizer, which offered several advantages: Momentum helps avoid getting stuck in local minima, much like in physics 🏃♂️. It smooths updates by acting as a moving averag...
#python#adam-optimisation#adam#gradient-descent#python-projects#from-scratch#from-scratch-in-python#machine-learning#machine-learning-with-python-course#linearregression
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