Wide Residual Networks (WideResNets) in PyTorch
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Updated
Apr 29, 2021 - Python
Wide Residual Networks (WideResNets) in PyTorch
Caffe Wide-Residual-Network (WRN) Generator
Customizable implementation of several kind of residual neural network for image classification (ResNet, WRN, DenseNet, ...)
A simple Wide ResNet implementation with Keras.
Standard & Adversarial Training of Wide Residual Networks (PyTorch Implementations)
ResNet ver TorchVision for Tensorflow2
Image Scene Classification of Multiclass using transfer learning
Experimented with and compared DFW neural network optimizer with SGD and ADAM on both vision and language tasks
Deep Learning Models written in Tensorflow
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