A pytorch implemented classifier for Multiple-Label classification
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May 25, 2018 - Python
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accuracy-curves
Here are 5 public repositories matching this topic...
“COVID-19 x-ray image classification”
computer-vision image-classification confusion-matrix transfer-learning vgg16 fine-tuning resnet-18 focal-loss accuracy-curves covid-19
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Nov 2, 2022 - Jupyter Notebook
A Convolutional Neural Network is built using the Tensorflow-Keras framework. The MNIST dataset is used to build this model. This dataset has 70,000 handwritten samples of numbers from 0-9. Each image in the dataset is of 28x28 grayscale pixels size.
tensorflow image-processing convolutional-neural-networks confusion-matrix keras-tensorflow accuracy-curves
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Jan 27, 2022 - Jupyter Notebook
This Python script demonstrates the implementation of a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. It utilizes TensorFlow, along with data augmentation techniques, to train the model on the training dataset. The script includes visualization of accuracy and loss curves.
deep-learning tensorflow cnn image-classification convolutional-neural-network data-augmentation model-evaluation classification-report loss-curves cifar-10 accuracy-curves
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May 7, 2023 - Jupyter Notebook
Machine Learning independent project, traffic sign recognition
python machine-learning pytorch confusion-matrix autonomous-driving traffic-sign-classification safety-critical resnet-18 accuracy-curves
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Mar 20, 2026 - Python
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