GitHub topics: gradientdescent

How to build a simple neural network from scratch using Numpy and linear algebra without relying on high-level libraries like TensorFlow or Keras.

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Linear regression and Normal equation implementation of predicting the life expectancies in different countries.

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Animating how Adaline classification works by minimizing cost. Showing comparison of three kinds of gradient descent.

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Practice on ML Specialization by Deeplearning.ai

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Rust implementation of the Adaline artificial neural network algorithm for educational purposes.

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Large Scale Machine/Deep Learning library for Python

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This repository contains numpy implementations of different ML Algorithms

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Uses Matrix factorisation on a sparse matrix to predict the missing values of rating of movies by users using stochastic and batch gradient descent.

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Generalized local search tool

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