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A pytorch implemented classifier for Multiple-Label classification
“COVID-19 x-ray image classification”
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.
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.