fishing-classifier-cnn/runs/1491083735/prediction.csv at master · Rj7/-fishing-classifier-cnn · GitHub
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grade-classifier/README.md at master · linderfight/grade-classifier · GitHub
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Multiple classifiers fusion and CNN feature extraction for handwritten digits recognition
fishing-with-python/170503_Michael_Heppler_GRADPRJ_Final.ipynb at master · mheppler/fishing-with-python · GitHub
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Breaking Linear Classifiers on ImageNet
fishing-classifier-cnn/runs/1491083735/prediction.csv at master · Rj7/-fishing-classifier-cnn · GitHub
GitHub - akimcs/fish-weight-estimation: a python project that uses machine learning to estimate the weight of a fish.
GitHub - LukaszMalucha/Image-Classification: Flask Blueprint & RESTful application with various image classification models.
GitHub - LukaszMalucha/Image-Classification: Flask Blueprint & RESTful application with various image classification models.
GitHub - yihong1120/Image-Classification-with-EfficientNetV2: This repository contains code for an image classification model using TensorFlow and Keras. It includes a script for training the model, a script for predicting new images using the
![](https://preview.redd.it/ivijnk26vm581.png?width=2560&format=png&auto=webp&s=97973b1426f322a7c78fcf35b22c7241d258e7e8)
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GitHub - MelihGulum/CIFAR-10-CNN-FLASK-Deployment: Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
![](https://user-images.githubusercontent.com/44053700/64618693-08c8f200-d3e1-11e9-85d8-7eb5f02cc8f3.png)
GitHub - cfl-minds/cnn_drag_prediction: A convolutional neural network for drag prediction in laminar flows
GitHub - esharma3/fish_weight_prediction_machine_learning: A Regression Model that predicts a fish's weight based on its specie, length, width & height.
GitHub - zerafachris/g2net_2nd_training_school_malta_mar_2020: CA17137 - A network for Gravitational Waves, Geophysics and Machine Learning - 2nd Training School
![](https://arxiv.org/html/2401.13193v1/x7.png)
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
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