Conjugate gradients minimization
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Updated
Oct 22, 2019 - Python
Conjugate gradients minimization
Here is the content of ML committe in season 2025
a "Main" repo for my math notes.
A multidimensional jet space engine for high-order mixed partial Log-Tower derivatives. Features a Chronological Step-Operator Engine (Anchor/Web logic) that eliminates Bell polynomial explosion via asymmetric tensor caching. Replaces the quotient rule with an optimized derivative generator for lightning-fast symbolic mapping.
Python program to find the partial derivatives - Implemented as a part of Engineering Maths seminar activity.
Mathematical optimization of the Sum of Squared Residuals (SSR) using partial derivatives, and gradient descent algorithms implemented in Java.
Revising concepts of CNN by building them from scratch using NumPy.
Mathematical Foundations of Machine Learning
Flatlands Project: QEA2 @ Olin College of Engineering
JavaFx Application for Convolutional Network to perfom Image Classification using Softmax Output Layer, Back Propagation, Gradient Descent, Partial Derivatives, Matrix Flattening, Matrix Unfolding, Concurrent Task, Performance Histogram, Confusion Matrix
A library for numerical solution of partial differential equations (PDE)
Some Partial Derivatives, Multi-variable calculus, Differential Equations, wave functions and other - interesting mathematics.
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