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Stochastic gradient descent is an iterative method for optimizing an objective function with suitable smoothness properties . It can be regarded as a stochastic approximation of gradient descent optimization, since it replaces the actual gradient by an estimate thereof . Especially in high-dimensional optimization problems this reduces the very high computational burden, achieving faster iterations in exchange for a lower convergence rate.
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Unlocking the Power of Knowledge
for Humanity's Progress

By harnessing the power of Artificial Intelligence, Boostlane is changing the way we engage with information, connect with experts, and foster personal growth.

Explore Topics,
Discover Ideas,
Share knowledge,
Learn from Experts
Boostlane is a media platform that aims to revolutionize how we research, discover, and learn about our favorite topics
Boostlane relies on the power of Artificial Intelligence and a Community of Researchers to curate and deliver reliable, insightful, and purposeful knowledge
  1. Support a platform focused on research and useful knowledge.
  2. Create personalized feeds.
  3. Follow your favorite topics and learn something new every day.
  4. Learn with the assistance of people and Artificial Intelligence Systems.
  5. Use innovative features designed to organize information and foster personal growth.
  6. Collect your favorite media in your private Library.