Topic: cost-function Goto Github
Some thing interesting about cost-function
Some thing interesting about cost-function
cost-function,Implemented gradient descent and cost function for logistic regression from scratch using numpy
User: akshay-madar
cost-function,A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.
User: alpsayin
cost-function,Repository for the Software and Computing for Applied Physics Project
User: andreabasiliorava
cost-function,Implement a safe autonomous navigation in a simulated 3D environment full of cars. Apply concepts like prediction, finite state machines, behavior planning, and more.
User: andresgarciaescalante
cost-function,Machine learning code: linear regression and logistic regression
User: bconsolvo
cost-function,Custom neural network implementation from scratch
User: bonelesswater
cost-function,Implement DFS, BFS, UCS, and A* algorithms && minimax and expectimax algorithms, as well as designing evaluation functions
User: cheretka
cost-function,The code of forward propagation , cost function , backpropagation and visualize the hidden layer.
User: chiapeilin
cost-function,Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)
User: christinaandrinopoyloy
cost-function,Understanding hyperparameters of neural network architectures using 3 cost functions, 3 activation functions, 2 regularizations and dropout.
User: crosstherubicon
cost-function,🟣 Cost Function interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
User: devinterview-io
cost-function,With OCTAVE - details in ex2.pdf in the repo.
User: erisilver
Home Page: https://www.coursera.org/learn/machine-learning
cost-function,Andrew Ng Machine Learning Course Coursera
User: ishantveerbhan
cost-function,Machine_Learning_Stanford_Ng
User: jhonti034
cost-function,A Mathematical Intuition behind Linear Regression Algorithm
User: juzershakir
cost-function,The simulated annealing algorithm that minimizes a cost function, which indicates the degree of matching between the force field (FF) and density-functional theory (DFT).
User: kevinshliu
cost-function,This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
User: khaledashrafh
cost-function,🧮 Calculate Cost Furniture, Windows and Doors
User: kiku-jw
Home Page: https://t.me/calfurbot
cost-function,Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech; when you cash a check, the machines that automatically read the digits also use neural networks.
User: kk289
cost-function,Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.
User: kk289
cost-function,Implementation of soft dynamic time warping in pytorch
User: lyprince
cost-function,Autonomous Vehicle modelling using MATLAB and Simulink
User: marksman007577
cost-function,Presentations And Source Codes of My Machine Learning Mini Course
User: mhbashari
cost-function,Implementing the gradient descent algorithm from scratch to perform univariate linear regression to analyze the profit made by a bike sharing company.
User: mixed-farming
cost-function,Create a Deep Neural Network from Scratch using Python3.
Organization: ml-repos
cost-function,
User: muhendis
cost-function,Chapter Wise Notes and codes of Book "Python Machine Learning by Sebestian Raschka".
User: mynkpl1998
cost-function,A dependency free library of standardized optimization test functions written in pure Python.
User: nathanrooy
cost-function,This repository consists of Lab Assignments for course Machine Learning.
User: nishi1612
cost-function,Highway Path Planner
User: overtane
cost-function,Monte-Carlo search for the minimum of the multidimensional "cost" function
Organization: pjmateus
cost-function,This repository contains the lab work of the course Machine Learning (IE 406).
User: purvilmehta06
cost-function,This repository discloses a new cost function entitled Distance Transform Loss (DTL) that punishes deep networks when class boundaries are misclassified in exchange for more accurate contour delineations, an important aspect in the geological field.
User: rafaelvareto
cost-function,OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.
User: rafaelvareto
Home Page: https://pypi.org/project/openloss/
cost-function,
User: rambodazimi
cost-function,Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.
User: rohit-kundu
cost-function,All my codes from 'Machine Learning' course by Andrew Ng offered by Coursera
User: sabirkhanakash
cost-function,This Python repository contains an example of linear regression using a single independent variable to predict a continuous dependent variable. It includes code for importing and preprocessing the data, fitting the model, and evaluating its performance. The repo also includes plots of the fitted models and analysis of the results.
User: sahmadrezaanaami
cost-function,this repository is for the cosmology course in the Winter of 1401. you can find out your computational homework here.
User: saraghl
cost-function,Creating a Neural Network Library from scratch utilising my Mathematics background along with content covered in Andrew Ng's Deep Learning course
User: tobiadeniyi
cost-function,Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
User: trajkd
cost-function,OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.
Organization: uai-ufmg
Home Page: https://pypi.org/project/openloss/
cost-function,
User: unstablev
cost-function,Machine Learning
User: yigitsener
cost-function,building a deep neural network with as many layers as you want!
User: zahra-bakhtiari
cost-function,
User: zoom2manoj
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