pixijs is winner.

No

This is my deep learning project called Cat Breeds Detector Application using Pre-Trained Model CNN (Xception and DenseNet-201). I got the dataset of cats from Kaggle, you can click here if you wanted to. Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm that can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image, and be able to differentiate one from the other. While the pre-trained model is a saved network that was previously trained on a large dataset, typically on a large-scale image-classification task. You either use the pre-trained model as is or use transfer learning to customize this model to a given task.

https://githubhelp/riojuliian/object-classification-using-cnn-pretained-model

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2020-06-06

GNU General Public License v3.0

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riojuliian