AI learns from mistakes, not magic: Loss Function, Optimization Learning Rate | Amandeep Singh 🇮🇳 posted on the topic | LinkedIn
AI learns from mistakes, not magic: Loss Function, Optimization Learning Rate | Amandeep Singh 🇮🇳 posted on the topic | LinkedIn
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Insightforge | AI & Data Science on Instagram: "Gradient descent is a core optimization method that enables AI models to learn by minimizing a loss function, which measures how far predictions are from the true outcomes. You can imagine the loss function as a terrain of hills and valleys, often called the loss landscape. High points correspond to large errors, while low points represent smaller errors. At any location on this surface, the gradient tells us the direction of steepest increase in l
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