binary-crossentropy

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.

machine-learning deep-learning tensorflow keras optimizer dataset classification accuracy churn-prediction keras-tensorflow nuralnetwork activation-functions binary-crossentropy vishallazrus vishal-lazrus

UpdatedFeb 20, 2024
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khuyentran1401 /MNIST-gradient-descent

Sponsor

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Implementation of gradient descent from scratch with binary cross entrophy loss

mnist-classification gradient-descent binary-crossentropy

UpdatedJul 6, 2020
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Jonas1312 /mse-for-binary-classification

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What Happens if We Use a Mean Squared Error Loss for Binary Classification?

machine-learning deep-learning neural-network mse loss-functions binary-crossentropy mean-squared-error crossentropy

UpdatedJul 20, 2022

lawl2 /object-detection-and-spatial-relation

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python deep-neural-networks blender numpy machine-learning-algorithms pytorch dataset bilateral-filter resnet-50 connected-components spatial-reasoning mask-rcnn clevr intersection-over-union binary-crossentropy region-proposal-network negative-log-likelihood smooth-l1-loss preprocessing-data hsv-color

UpdatedSep 29, 2023
Python

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

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Predict which Tweets are about real disasters and which ones are not Microsoft DeBERTa

tokenizer pytorch transformer data-cleaning nlp-machine-learning bert-model binary-crossentropy distilbert huggingface-transformers deberta-v3-large

UpdatedJan 15, 2024
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parham1998 /CNN_Image_Annotaion

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Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library

deep-neural-networks image-annotation pytorch convolutional-neural-networks resnext multilabel-classification focal-loss resnet101 pairwise-ranking binary-crossentropy tresnet xception-net asymmetric-loss corel-5k matthews-correlation-coefficient

UpdatedOct 1, 2022
Python

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

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NLP Model for Spam/Ham Mail Classification

python nlp machine-learning deep-learning text-classification tensorflow text keras jupyter-notebook python3 tensorboard spam-filtering binaryclassification binary-crossentropy crossentropy

UpdatedMay 12, 2022
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vincentpun123 /Credit-Risk-Assessment

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Utilize autoencoders for anomaly detection and customer credit risk evaluation

autoencoder logistic-regression fraud-prevention credit-risk binary-crossentropy

UpdatedMar 30, 2021
HTML

blleshi /Neural_Network_Binary_Classification

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Venture Funding with Deep Learning (Neural Network Binary Classification)

deep-learning neural-network tensorflow scikit-learn keras pandas hdf5 binary-classification binary-crossentropy preprocessing-data standard-scaler neural-network-model venture-funding

UpdatedAug 6, 2024
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imane-ayouni /Offensive-Language-Detection-using-Backpropagation

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Simple neural network to detect offensive language usage

neural-network backpropagation binary-classification feedforward binary-crossentropy accuarcy

UpdatedMay 6, 2023
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louixnjeru /tensorflow

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A collection of tensorflow projects.

python image sentiment-analysis tensorflow keras jupyter-notebook python3 neural-networks colab multiclass-image-classification binary-crossentropy scce

UpdatedJun 5, 2023
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jianninapinto /Convolutional-Neural-Network-to-Classify-Images-of-Forest-and-Mountains

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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.

deep-learning image-classifier data-augmentation cnn-model resnet-50 conv2d globalaveragepooling binary-crossentropy maxpooling2d