This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...

The prospect of Paramount’s buying Warner Bros. Discovery had led CNN journalists to wonder if the channel may be combined with CBS News. Instead, CNN will remain in a separate corporate entity. By ...

The cnn.py implemented a simple CNN with pytorch. The network consists of two convolutional-ReLU-pooling layer and a fully-connected-softmax layer. The network structure is as following: ...

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A PyTorch implementation of the CVPR 2018 paper Domain Adaptive Faster R-CNN for Object Detection in the Wild. The original code used by the authors can be found here. This implementation is built on ...

A deep learning project implementing a ResNet-based Convolutional Neural Network for classifying food images from the Food-101 dataset. This project demonstrates state-of-the-art computer vision ...

A real-time facial emotion recognition web app using a custom-trained CNN on the FER-2013 dataset. Built with Flask, OpenCV, and PyTorch.