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loss-functions

Here are 136 public repositories matching this topic...

gugarosa / genetic_loss

📄 Official implementation regarding the paper "Genetic Programming Operators into Artificial Machine Learning Losses".

machine-learning paper genetic-programming implementation loss-functions evolving

Updated Oct 5, 2022
Python

oliciep / RULSTM_Loss_Functions

RULSTM Loss Functions Code, Used to aid in experimentation with architecture testing

python machine-learning experimentation loss-functions rulstm

Updated Nov 17, 2023
Python

yzhang559 / Pytorch_Plot_Script

pytorch loss-functions figure-maker

Updated Jan 25, 2018
Python

Abir0810 / firm_business_prediction_model

data linear-regression data-visualization data-analysis predictive-modeling ridge-regression gaussian-processes loss-functions lasso-regression knn-classification

Updated Sep 18, 2023
Python

pkpraveen895 / word-vector-training

Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests

nlp loss-functions nce word-vectors skip-grams cross-entropy-loss word-analogy

Updated Nov 9, 2018
Python

ewigspace1910 / PelFace

PelFace: Parallel Ensemble Method of Deep Convolutional Neural Networks with Different Effective Loss Functions for Face Recognition

deep-learning face-recognition loss-functions

Updated May 28, 2023
Python

raktim-mondol / loss-metrics

All loss function and metrics related to segmentation model in one repo.

metrics segmentation loss-functions iou

Updated Jun 4, 2021
Python

jElhamm / Multiclass-SVM-Softmax-Classifier

"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."

python svm artificial-neural-networks svm-learning loss-functions svm-classifier artificial-intelligence-algorithms softmax multiclass-classification softmax-classifier multiclass softmax-classification

Updated Feb 25, 2024
Python

oliciep / Dissertation_RULSTM

RULSTM Dissertation Research, Architecture used for RULSTM experimentation, mainly with loss functions, sequence completion pretraining and anticipation times.

deep-learning pytorch action-recognition loss-functions rulstm

Updated Mar 2, 2024
Python

shen3443 / wine-quality-dataset-vanilla-python-ML

A feedforward neural network to predict wine quality based on a number of scientific factors. NOTE: This is purely an educational project. This is neither an efficient nor realistic neural network for commercial use.

python machine-learning neural-network ml feedforward-neural-network from-scratch loss-functions wine-quality educational-project activation-functions

Updated Oct 27, 2020
Python

fauzancodes / gradient-descent

Performing gradient descent for calculating slope and intercept of linear regression using sum square residual or mean square error loss function.

linear-regression intercept gradient-descent slope loss-functions stochastic-gradient-descent mini-batch-gradient-descent mean-square-error sum-square-residual

Updated Apr 25, 2021
Python

CesarCaramazana / LossFunctions_zoo

A compilation of loss functions for optimization problems

optimization loss-functions

Updated Aug 12, 2021
Python

FabrizioMusacchio / L1_and_L2_regularization

This repository contains the code for the blog post on Understanding L1 and L2 regularization in machine learning. For further details, please refer to this post.

python cnn hyperparameter-optimization regularization penalty hyperparameter-tuning loss-functions l2-regularization l1-regularization penalization

Updated Jul 13, 2023
Python

Piero24 / lossFuncition-4SN

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

Updated Jan 22, 2024
Python

shun60s / softmax-index-weighted

Chainerを使った自作の損失関数の実装

chainer loss-functions

Updated Dec 8, 2018
Python

aliyzd95 / Gradient-Descent-from-scratch

Investigating Gradient Descent behavior in linear regression

uke linear-regression mse gradient-descent learning-rate loss-functions mae

Updated Nov 23, 2022
Python

Amber0914 / NN_without_libraries

It's a demonstration for implementing NN without using any deep learning library.

tutorial neural-network python3 loss-functions backward-propagation forward-propagation

Updated Jan 20, 2019
Python

pranoy-panda / BTech_project

3D obstacle avoidance using perception

deep-learning planning loss-functions fully-convolutional-networks monocular-depth-estimation

Updated Jun 21, 2020
Python

parham1998 / Linear_Regression_PyTorch

Implementation of a simple Linear Regression model with Numpy & PyTorch library

python numpy linear-regression pytorch gradient-descent backpropagation loss-functions

Updated Aug 2, 2021
Python

dane-meister / Neural-Network

Creating a Neural Network from scratch.

python machine-learning neural-network numpy python3 neural-networks neurons loss-functions activation-functions

Updated Jun 20, 2024
Python

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