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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 & [...]

Layman Understanding of Gradient Descent Algorithm!!

Balaji Venkatesh2022-03-20T22:39:58+05:30March 20th, 2022|Categories: Deep Learning, Dense Neural Network, Gradient Descent, Taylor Series|Tags: Deep Learning, DNN, Gradient Descent, Gradient Descent Algorithm, Machine Leaning, Softmax|

Hello Friends, Welcome Back !! Our first post for the Year - 2022 :). After much thought, i decided to write about common interview question to "Explain about How [...]

Learning Complex Functions using Universal Approximate Theorem

Balaji Venkatesh2021-11-28T20:19:46+05:30November 28th, 2021|Categories: Complex Functions, Dense Neural Network, Sigmoid Functions, Uncategorized, Universal approximation Theorem|Tags: Activation Functions, Complex functions, Dense Neural Network, DNN, Neural Network, Universal Approximation Theorem|

Hello Friends, Welcome Back !! In today's article, we wanted to focus on one more important mathematical functions heavily used in Analytical Space - "COMPLEX [...]