GitHub topics: cross-entropy-loss

Repositories

Sasirumindaka10/pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

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DannyCollinson/pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

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krishnadey30/Artificial_Intelligence_Codes

C codes for the Arificial Intelligence Course and algorithms.

Language: C - Size: 872 KB - Last synced at: 23 days ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 1

unvercan/loss-function-comparison-pytorch

Comparison of common loss functions in PyTorch using MNIST dataset

Language: Python - Size: 3.02 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

arbit3rr/UNet-AerialSegmentation

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

Language: Python - Size: 42 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 78 - Forks: 24

anurima-saha/Image_Classification_CNN_MobileNetV3

IMAGE CLASSIFICATION USING CNN and MobileNetV3

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umbertogriffo/focal-loss-keras

Binary and Categorical Focal loss implementation in Keras.

Language: Python - Size: 101 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 278 - Forks: 67

alexkalergis/Image-Classification-with-fully-connected-Neural-Network

• Machine Learning • In this project we focused on comparing a Bayes optimal classifier with neural network models using different methods, including cross-entropy, exponential, and hinge loss functions.

Language: Python - Size: 3.85 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

arkanivasarkar/Deep-Learning-from-Scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

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daodavid/maths-behind-ML

Maths behind machine learning and some implementations from scratch.

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saminheydarian/Digital_Image_Processing_TA_2021

Digital Image Processing Course | Home Works Design| Fall 2021 | Dr. MohammadReza Mohammadi

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attaullah/Pretraining-WideResNet

This repository contains code for pretraining Wide Residual Network (WRN) using ImageNet

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IsmaelMousa/playing-with-torch

Practice using PyTorch include data preprocessing, linear algebra, optimization, neural networks, CNNs, and more to cover ML and DL basics

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robail-yasrab/dataset_weights

Language: Python - Size: 9.77 KB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

inzamamulDU/movielens-and-netflix-dataset-prediction-

full visualization of netflix and movielense datasets with 89% accuraccy item2vec

Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

ahmad-sohrabi/Ionosphere_Classification

Classification of Ionosphere dataset using pytorch neural networks.

Language: Python - Size: 36.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rantsandruse/pytorch_lstm_01intro

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

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Abdoelabassi/Machine-Learning-Specialization

Machine Learning: Regression and Classification. Andrew presents a course in introduction to machine learning, with practice in regression and classification for the first and second course, and the third course focuses on recommender systems and reinforcement learning.

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Ad7amstein/Logistic_Regression-Breast_Cancer_Diagnostic

Predict whether the cancer is benign or malignant using logistic regression model.

Language: Jupyter Notebook - Size: 802 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

YisenWang/symmetric_cross_entropy_for_noisy_labels

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

Language: Python - Size: 26.4 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 165 - Forks: 32

dbrcina/MSc-Thesis-FER-2021-22

MSc Thesis at FER-2021/22 led by izv. prof. dr. sc. Marko Čupić

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

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

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saurabhchatterjee/nn.uci.statlog.heart

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dkohlsdorf/GradientBoostedTrees

Simple Implementation of Gradient Boosted Trees

Language: Scala - Size: 288 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

hwalsuklee/numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

Language: Python - Size: 26.4 MB - Last synced at: 3 days ago - Pushed at: about 7 years ago - Stars: 48 - Forks: 13

gavalle94/NN-demo

A simple demo in which a Neural Network is trained to recognize hand-written digits

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ai-med/nn-common-modules

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

Language: Python - Size: 276 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 28 - Forks: 15

GvHemanth/Chest-X-Ray-Effusion-Detection-using-CNN-ResNet

In this X-ray classification assignment, we built a deep learning model to classify chest X-ray images into "nofinding" and "effusion" classes. We tackled challenges like data augmentation, imbalanced classes, and used weighted cross-entropy to improve model performance. The goal was to identify abnormalities with high accuracy.

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farkoo/Logistic-Regression-Diabetic-Prediction

In this notebook, we want to create a machine learning model to accurately predict whether patients have a database of diabetes or not.

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beingbat/neural-nets

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

Language: Python - Size: 31.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Grafit24/DL-Framework-Numpy

Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".

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AditiBagora/LogisticRegression 📦

Implementation of logistic regression

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gayanku/NBC-Softmax

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

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mohadeseh-ghafoori/Neural-Machine-Translation

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mohadeseh-ghafoori/NNs-with-one-hidden-layer

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mohadeseh-ghafoori/Trigger-Word-Detection

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lancopku/well-classified-examples-are-underestimated

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

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asaficontact/stack_classifier_project

We classified Stack Overflow Python questions from 2008-2016 with Natural Language Processing and Deep Learning. Using Regular Expressions, we removed HTML tags and punctuation. We also utilized spaCy to tokenize, lemmatize and remove stop words. Using Keras, we built a 4 layered artificial neural network with a 20% dropout rate using relu and softmax activation functions. We also utilized the adam optimizer and categorical cross-entropy loss function which classified 11 tags 88% successfully.

Language: Jupyter Notebook - Size: 169 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

UsmanNiazi/Chatbot-with-Pytorch

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

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

mansi-k/SiameseNet

Implemented and trained Siamese network for image classification using contrastive loss, triplet loss and regularized cross-entropy loss

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SameetAsadullah/Neural-Network-Implementation

Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)

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ankdeshm/DL_Higgs_Boson_Detection

A wide and deep neural network built with Kera’s functional API to determine whether an observed particle collision produced a Higgs boson or not

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fakemonk1/decision-tree-implementation-from-scratch

Decision Tree Implementation from Scratch

Language: Python - Size: 146 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 1

parismollo/Raven

Breast Cancer Classification with Logistic Regression

Language: Python - Size: 5.25 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AyanPahari/Logistic-Regression-Classifier-from-Scratch

We will Implement a logistic regression classifier, which is trained using gradient descent and cross-entropy error as the error function.

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Ankush7890/Are_we_too_mean_to_the_mean_square

Random experiments with scikit-learn.

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rnk20/Neural-Networks

Deep Neural Networks like Single Layer Perceptron and Multi Layer Perceptron implementation using Tensorflow library on Datasets like MNIST and Naval Mine for categorical Classification. Saving and Restoring Tensorflow "Variables" weights for testing.

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mb11797/Image_Recognition_Cat_vs_Non-Cat_Pytorch

A classifier to differentiate between Cat and Non-Cat Images

Language: Python - Size: 6.07 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0

swethalahari/SVHN

Image Classification using Neural Networks

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Ashwanikumarkashyap/RNN-based-new-lyrics-generation-from-scratch

In the project, the aim is to generate new song lyrics based on the artist’s previously released song’s context and style. We have chosen a Kaggle dataset of over 57,000 songs, having over 650 artists. The dataset contains artist name, song name, a link of the song for reference & lyrics of that song. We tend to create an RNN character-level language model on the mentioned dataset. Using model evaluation techniques, the model is checked for its accuracy and is parameter optimized. The trained model will predict the next character based on the context of the previous sequence and will generate new lyrics based on an artist’s style.

Language: Python - Size: 46.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Related Keywords

cross-entropy-loss 54 deep-learning 11 gradient-descent 11 neural-network 11 pytorch 11 numpy 10 logistic-regression 9 machine-learning 9 python 8 neural-networks 7 adam-optimizer 7 python3 7 loss-functions 6 classification 6 tensorflow 6 keras 5 sklearn 5 cnn 5 jupyter-notebook 5 mnist 5 deep-neural-networks 4 relu-activation 4 image-classification 4 focal-loss 4 ai 4 artificial-neural-networks 4 dropout 3 torch 3 pandas 3 regularization 3 sigmoid-activation 3 relu 3 handwritten-digit-recognition 3 machine-learning-algorithms 3 mnist-classification 3 kaggle-dataset 3 sigmoid-function 3 batch-normalization 3 matplotlib 3 mean-square-error 2 focalloss 2 neural-networks-from-scratch 2 dense-layers 2 optimizer 2 supervised-learning 2 rnn 2 cross-entropy 2 binary-cross-entropy-loss 2 softmax 2 bidirectional-rnn 2 triplet-loss 2 scikit-learn 2 knn-classifier 2 classification-algorithm 2 rmsprop 2 segmentation 2 model-evaluation 2 convolutional-neural-networks 2 keras-neural-networks 2 stochastic-gradient-descent 2 decision-trees 2 activation-functions 2 hinge-loss 2 conv1d 1 dropout-layers 1 gru-neural-networks 1 lstm 1 lemmatization 1 transformer 1 object-oriented-programming 1 adversarial-attacks 1 overlapping 1 regular-expressions 1 spacy-nlp 1 ood-detection 1 spacy 1 trigger-word-detection 1 graph-neural-networks 1 imbalanced-learning 1 artificial-intelligence 1 tensoflow 1 diabetes-prediction 1 from-scratch 1 algorithms 1 mlp 1 nadam 1 softmax-layer 1 backpropagation-learning-algorithm 1 perceptron-learning-algorithm 1 author-attribution 1 author-identification 1 contrastive-learning 1 darkweb 1 darkweb-data 1 metric-learning 1 softmax-classifier 1 sybil 1 sybil-attack 1 attention-model 1 lstm-neural-networks 1