cross-entropy-loss
There are 52 repositories under cross-entropy-loss topic.
umbertogriffo/focal-loss-keras
Binary and Categorical Focal loss implementation in Keras.
YisenWang/symmetric_cross_entropy_for_noisy_labels
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
amirhosseinh77/UNet-AerialSegmentation
A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
hwalsuklee/numpy-neuralnet-exercise
Implementation of key concepts of neuralnetwork via numpy
lancopku/well-classified-examples-are-underestimated
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
ai-med/nn-common-modules
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
rantsandruse/pytorch_lstm_01intro
The most basic LSTM tagger model in pytorch; explain relationship between nll loss, cross entropy loss and softmax function.
UsmanNiazi/Chatbot-with-Pytorch
A Feed Forward Neural Network which a ReLU activation, Cross Entropy Loss & Adam Optimizer
fakemonk1/decision-tree-implementation-from-scratch
Decision Tree Implementation from Scratch
gayanku/NBC-Softmax
Code for the Paper : NBC-Softmax : Darkweb Author fingerprinting and migration tracking (https://arxiv.org/abs/2212.08184)
Ishan7390/NN_fashMNIST
Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer
krishnadey30/Artificial_Intelligence_Codes
C codes for the Arificial Intelligence Course and algorithms.
daodavid/maths-behind-ML
Maths behind machine learning and some implementations from scratch.
mb11797/Image_Recognition_Cat_vs_Non-Cat_Pytorch
A classifier to differentiate between Cat and Non-Cat Images
parismollo/Raven
Breast Cancer Classification with Logistic Regression
singh-jagjot/Multiclass-Classification-Using-Softmax-From-Scratch
Multiclass Classification using Softmax from scratch without any famous library like Tensorflow, Pytorch, etc.
unvercan/loss-function-comparison-pytorch
Comparison of common loss functions in PyTorch using MNIST dataset
Abhijit2505/Cat-Photo-Classification
This repository contains two models having Two - layers ANN and L - layers ANN respectively to classify Cat photo and Non-Cat photo. This ANN works on the mathematical principles of Logistic Regression and Cross Entropy.
beingbat/neural-nets
Neural Networks from scratch (Inspired by Michael Nielsen book: Neural Nets and Deep Learning)
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.
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.
dbrcina/MSc-Thesis-FER-2021-22
MSc Thesis at FER-2021/22 led by izv. prof. dr. sc. Marko Čupić
Grafit24/DL-Framework-Numpy
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
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.
inzamamulDU/movielens-and-netflix-dataset-prediction-
full visualization of netflix and movielense datasets with 89% accuraccy item2vec
mansi-k/SiameseNet
Implemented and trained Siamese network for image classification using contrastive loss, triplet loss and regularized cross-entropy loss
rae-t627/KL-Severity-Grading-Focal-Loss-Optimization-Grad-CAM
KL severity grading using SE-ResNet and SE-DenseNet architectures trained with Cross Entropy loss and Focal Loss. The hyperparameters of focal loss have been fine-tuned as well. Further, Grad-CAM has been implemented for visualization purposes.
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.
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)
saminheydarian/Digital_Image_Processing_TA_2021
Digital Image Processing Course | Home Works Design| Fall 2021 | Dr. MohammadReza Mohammadi
Ad7amstein/Logistic_Regression-Breast_Cancer_Diagnostic
Predict whether the cancer is benign or malignant using logistic regression model.
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.
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.
ahmad-sohrabi/Ionosphere_Classification
Classification of Ionosphere dataset using pytorch neural networks.
krish1925/Custom-Adam
Built a custom adam scheduler using gradient clipping, LR scheduling, momentum updates, with two different loss functions