v2 Classification


What is Resnet34?

Resnet34 is a 34 layer convolutional neural network that can be utilized as a state-of-the-art image classification model. This is a model that has been pre-trained on the ImageNet dataset--a dataset that has 100,000+ images across 200 different classes. However, it is different from traditional neural networks in the sense that it takes residuals from each layer and uses them in the subsequent connected layers (similar to residual neural networks used for text prediction).

Restnet34 Architecture

Below. on the right-hand side, is Resnet34's architecture where the 34 layers and the residuals from one layer to another are visualized.
Restnet34 Architecture

Learn More

Learn how to use Resnet34 Custom Resnet34 Model for Image Classification using fastai and PyTorch: