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cross-entropy-loss

Here are 52 public repositories matching this topic...

umbertogriffo / focal-loss-keras

Binary and Categorical Focal loss implementation in Keras.

deep-neural-networks deep-learning keras binary-classification loss-functions categorical-cross-entropy cross-entropy-loss

Updated Nov 21, 2022
Python

YisenWang / symmetric_cross_entropy_for_noisy_labels

Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"

cross-entropy-loss noisy-labels iccv2019

Updated Jun 16, 2021
Python

amirhosseinh77 / UNet-AerialSegmentation

A PyTorch implementation of U-Net for aerial imagery semantic segmentation.

pytorch aerial-imagery segmentation unet semantic-segmentation u-net focal-loss cross-entropy-loss iou-loss

Updated Oct 17, 2021
Python

hwalsuklee / numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

neural-network numpy cnn dropout mnist sgd regularization deeplearning xavier-initializer relu cross-entropy-loss numpy-neuralnet-exercise

Updated Feb 6, 2018
Python

lancopku / well-classified-examples-are-underestimated

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

deep-learning transformer classification image-classification imbalanced-learning adversarial-attacks cross-entropy-loss graph-neural-networks ood-detection

Updated Sep 19, 2022
Jupyter Notebook

ai-med / nn-common-modules

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

computer-vision deep-learning pytorch medical-imaging convolutional-layers segmentation densenet convolutional-neural-networks encoder-decoder dice-coefficient cross-entropy-loss

Updated Feb 2, 2021
Python

rantsandruse / pytorch_lstm_01intro

The most basic LSTM tagger model in pytorch; explain relationship between nll loss, cross entropy loss and softmax function.

cross-entropy-loss lstm-pytorch lstm-tagger nll-loss

Updated Feb 22, 2021
Jupyter Notebook

UsmanNiazi / Chatbot-with-Pytorch

A Feed Forward Neural Network which a ReLU activation, Cross Entropy Loss & Adam Optimizer

neural-network natural-language chatbot pytorch cross-entropy-loss relu-activation

Updated Oct 25, 2020
Jupyter Notebook

fakemonk1 / decision-tree-implementation-from-scratch

Decision Tree Implementation from Scratch

training build prediction decision-trees implementation-of-algorithms cross-entropy-loss gini-index

Updated May 15, 2019
Python

gayanku / NBC-Softmax

Code for the Paper : NBC-Softmax : Darkweb Author fingerprinting and migration tracking (https://arxiv.org/abs/2212.08184)

metric-learning sybil darkweb softmax-classifier darkweb-data author-identification cross-entropy-loss author-attribution sybil-attack contrastive-learning

Updated Dec 22, 2022
Python

krishnadey30 / Artificial_Intelligence_Codes

C codes for the Arificial Intelligence Course and algorithms.

neural-networks bayes-classifier classification-algorithm manhattan-distance 15-puzzle astar-pathfinding knn-classifier cross-entropy-loss

Updated Apr 11, 2018
C

Ishan7390 / NN_fashMNIST

Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer

neural-network mnist-classification hidden-layers adam-optimizer softmax-classifier relu-layer cross-entropy-loss

Updated Nov 13, 2019
Python

mb11797 / Image_Recognition_Cat_vs_Non-Cat_Pytorch

A classifier to differentiate between Cat and Non-Cat Images

deep-neural-networks machine-learning-algorithms torch pytorch deep-learning-algorithms classification image-recognition back-propagation classifier-model sigmoid-function relu-layer cross-entropy-loss cat-vs-non-cat

Updated Jun 28, 2018
Python

maths-behind-ML

daodavid / maths-behind-ML

Maths behind machine learning and some implementations from scratch.

logistic-regression gradient-descent softmax-regression maximum-likelihood-estimation cross-entropy taylor-expansion cross-entropy-loss log-odds ratio-odds

Updated Jul 30, 2022
Jupyter Notebook

parismollo / Raven

Breast Cancer Classification with Logistic Regression

machine-learning sklearn logistic-regression gradient-descent cross-entropy-loss

Updated Dec 8, 2022
Python

unvercan / loss-function-comparison-pytorch

Comparison of common loss functions in PyTorch using MNIST dataset

python machine-learning deep-learning neural-network numpy pytorch dataset mnist image-classification matplotlib loss-functions l1 l2 linear-classifier mean-square-error cross-entropy-loss negative-log-likelihood

Updated Feb 9, 2022
Python

singh-jagjot / Multiclass-Classification-Using-Softmax-From-Scratch

Multiclass Classification using Softmax from scratch without any famous library like Tensorflow, Pytorch, etc.

machine-learning machine-learning-algorithms supervised-learning handwritten-digit-recognition softmax supervised-machine-learning softmax-classification cross-entropy-loss

Updated Sep 13, 2023
Python

chrisshaffer / NN-character-recognition

Neural network-based character recognition using MATLAB. The algorithm does not rely on external ML modules, and is rigorously defined from scratch. A report is included which explains the theory, algorithm performance comparisons, and hyperparameter optimization.

matlab neural-networks hyperparameter-optimization character-recognition stochastic-gradient-descent softmax-classifier cross-entropy-loss softplus

Updated Aug 19, 2021
MATLAB

beingbat / neural-nets

Neural Networks from scratch (Inspired by Michael Nielsen book: Neural Nets and Deep Learning)

deep-learning neural-network mnist softmax sigmoid-function cross-entropy-loss

Updated May 24, 2023
Python

robail-yasrab / dataset_weights

python pytorch loss-functions cross-entropy class-weights cross-entropy-loss crossentropyloss weighted-loss class-weight dataset-weight cross-entropy-loss-weight weights-of-dataset weights-of-dataset-classes

Updated Jun 17, 2020
Python

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