Learn The Mathematics Behind Gradient Descent in Deep Learning
Pickl AI
NOVEMBER 28, 2024
Understanding its types—Batch, Stochastic, and Mini-batch Gradient Descent—enables effective training of complex neural networks. billion by 2033, growing at a CAGR of 32.57%. The algorithm moves toward the steepest decline to find the minimum point. The global Deep Learning market, valued at USD 69.9
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