Optimization

Variants of Gradient Descent Algorithm – Part 1 !!
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Variants of Gradient Descent Algorithm – Part 1 !!

Balaji Venkatesh2022-04-10T22:41:57+05:30April 10th, 2022|Categories: Deep Learning, Dense Neural Network, Gradient Descent, Optimization|Tags: Deep Learning, Gradient Descent Algorithm, Momentum Based Gradient Descent, Nesterov Accelerated Gradient Descent, Optimization|

Hello Friends, Welcome back !! In last couple of articles, we are getting deeper in "Deep Learning" concepts. Starting from Universal Approximation Theorem, How Gradient Descent Algorithm works & [...]

Importance of Taylor Series in Deep Learning Models !!
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Importance of Taylor Series in Deep Learning Models !!

Balaji Venkatesh2022-03-20T19:47:53+05:30August 8th, 2021|Categories: Deep Learning, Gradient Descent, Loss Function, Mathematics, Optimization, Taylor Series, Trigonometry|Tags: Deep Learning, Gradient Descent Rule, Machine Learning Optimization, Mathematics, Optimization, Taylor Series, Trigonometry|

Hello Friends, Welcome Back !! I took some time to choose an interesting topic for our readers to benefit. We have been talking around in general topic related to [...]