binary-crossentropy

There are 0 repository under binary-crossentropy topic.

balanced-loss
fcakyon / balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
balanced-loss binary-crossentropy class-balanced-loss computer-vision cross-entropy cvpr deep-learning focal-loss image-classification loss-functions machine-learning pip pypi python pytorch
Language:Python 83
NinaadRao / Multilabel-Image-Classification-using-Contractive-Autoencoder
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
contractive-autonencoders convolutional-neural-network feedforward-neural-network adam-optimizer batch-normalization dropout multilabel-classification binary-crossentropy tensorflow keras
Language:Jupyter Notebook 12
anwai98 / Loss-Functions
Different Loss Function Implementations in PyTorch and Keras
pytorch keras deep-learning dice-loss binary-crossentropy jaccard-loss iou focal-loss tversky-loss focal-tversky-loss lovasz-hinge-loss combo-loss
Language:Jupyter Notebook 4
khuyentran1401 / MNIST-gradient-descent
Implementation of gradient descent from scratch with binary cross entrophy loss
gradient-descent binary-crossentropy mnist-classification
Language:Jupyter Notebook 2
vishal815 / Customer-Churn-Prediction-using-Artificial-Neural-Network
This project involves building an Artificial Neural Network (ANN) for predicting customer churn. The dataset used contains various customer attributes, and the ANN is trained to predict whether a customer is likely to leave the bank.
accuracy activation-functions binary-crossentropy churn-prediction classification dataset deep-learning keras keras-tensorflow machine-learning nuralnetwork optimizer tensorflow vishal-lazrus vishallazrus
Language:Jupyter Notebook 2
0xN1nja / Spam-Ham-Classification-Using-TensorFlow-NLP
NLP Model for Spam/Ham Mail Classification
binary-crossentropy binaryclassification crossentropy deep-learning jupyter-notebook keras machine-learning nlp python python3 spam-filtering tensorflow text text-classification tensorboard
Language:Jupyter Notebook 1
ashish807 / Predict-Job-Title-and-skills
Job Prediction given job description and skills
rnn-tensorflow embedding-vectors dropout-keras lstm-neural-networks densenet-tensorflow adam-optimizer sigmoid-function binary-crossentropy pandas-dataframe numpy-arrays matplotlib deep-learning
Language:Jupyter Notebook 1
Jonas1312 / mse-for-binary-classification
What Happens if We Use a Mean Squared Error Loss for Binary Classification?
binary-crossentropy crossentropy deep-learning loss-functions machine-learning mean-squared-error mse neural-network
1
lawl2 / object-detection-and-spatial-relation
bilateral-filter clevr connected-components dataset deep-neural-networks hsv-color machine-learning-algorithms mask-rcnn negative-log-likelihood numpy preprocessing-data python pytorch region-proposal-network resnet-50 smooth-l1-loss binary-crossentropy spatial-reasoning blender intersection-over-union
Language:Python 1
parham1998 / CNN_Image_Annotaion
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
asymmetric-loss binary-crossentropy convolutional-neural-networks corel-5k deep-neural-networks focal-loss image-annotation matthews-correlation-coefficient multilabel-classification pairwise-ranking pytorch resnet101 resnext tresnet xception-net
Language:Python 1
srushtii-m / Natural-Language-Processing-with-Disaster-Tweets
Predict which Tweets are about real disasters and which ones are not Microsoft DeBERTa
bert-model binary-crossentropy data-cleaning deberta-v3-large distilbert huggingface-transformers nlp-machine-learning pytorch tokenizer transformer
Language:Jupyter Notebook 1
1391819 / artGAN
A Generative Adversarial Network for the generation of new synthetic art.
adam-optimizer binary-crossentropy cnn custom-training-loop deep-learning gan random-noise-injection tensorflow
Language:Jupyter Notebook 0
inzapp / absolute-logarithmic-error
Alternative loss function of binary cross entropy and focal loss
alternative binary-crossentropy focal-loss loss-function
Language:Python 0
MINING-GOLD-FROM-GENERATORS
leonrenn / MINING-GOLD-FROM-GENERATORS
Mining gold from implicit models to improve likelihood-free inference, example for ROLR and RASCAL.
binary-crossentropy comparison data-efficient-learning data-science likelihood-free likelihood-free-inference likelihood-ratio machine-learning neural-network neural-networks particle-physics physics regression seminar
Language:Jupyter Notebook 0
daramdhanush / Hotel-Review-Classification
Train a model using LSTM(Long short-term memory) to classify whether hotel reviews are positive or negative
binary-crossentropy early-stopping lstm python tensorflow tokenizer
Language:Jupyter Notebook
imane-ayouni / Offensive-Language-Detection-using-Backpropagation
Simple neural network to detect offensive language usage
backpropagation binary-classification binary-crossentropy feedforward neural-network accuarcy
Language:Jupyter Notebook
jianninapinto / Convolutional-Neural-Network-to-Classify-Images-of-Forest-and-Mountains
Utilized CNN models to classify images of mountains and forests, treating mountains as the positive class and forests as the negative class. We compare the performance of a pre-trained model, a custom CNN model, and a CNN model with data augmentation.
binary-crossentropy cnn-model conv2d data-augmentation deep-learning globalaveragepooling image-classifier maxpooling2d resnet-50
Language:Jupyter Notebook
jianninapinto / COVID-19-Detection-using-Multilayer-Perceptron-Neural-Network
Used a Multilayer Perceptron (MLP) neural network to detect COVID-19 in lung scans.
adam-optimizer binary-crossentropy keras relu-activation sigmoid-activation tensorflow callbacks dropout early-stopping l1-regularization l2-regularization machine-learning neural-network tensorboard-visualization
Language:Jupyter Notebook
louixnjeru / tensorflow
A collection of tensorflow projects.
binary-crossentropy colab image jupyter-notebook keras multiclass-image-classification neural-networks python python3 sentiment-analysis tensorflow scce
Language:Jupyter Notebook
vincentpun123 / Credit-Risk-Assessment
Utilize autoencoders for anomaly detection and customer credit risk evaluation
logistic-regression autoencoder credit-risk fraud-prevention binary-crossentropy
Language:HTML

binary-crossentropy

fcakyon / balanced-loss

NinaadRao / Multilabel-Image-Classification-using-Contractive-Autoencoder

anwai98 / Loss-Functions

khuyentran1401 / MNIST-gradient-descent

vishal815 / Customer-Churn-Prediction-using-Artificial-Neural-Network

0xN1nja / Spam-Ham-Classification-Using-TensorFlow-NLP

ashish807 / Predict-Job-Title-and-skills

Jonas1312 / mse-for-binary-classification

lawl2 / object-detection-and-spatial-relation

parham1998 / CNN_Image_Annotaion

srushtii-m / Natural-Language-Processing-with-Disaster-Tweets

1391819 / artGAN

inzapp / absolute-logarithmic-error

leonrenn / MINING-GOLD-FROM-GENERATORS

daramdhanush / Hotel-Review-Classification

imane-ayouni / Offensive-Language-Detection-using-Backpropagation

jianninapinto / Convolutional-Neural-Network-to-Classify-Images-of-Forest-and-Mountains

jianninapinto / COVID-19-Detection-using-Multilayer-Perceptron-Neural-Network

louixnjeru / tensorflow

vincentpun123 / Credit-Risk-Assessment