Tag: Deep Learning

This post introduces the HybridNets neural network architecture using PyTorch. We go through a brief explanation and inference on videos. ...

In this post, we carry out a detailed comparison between PyTorch IMAGENET1K_V1 and IMAGENET1K_V2 weights using the ResNet50 model. ...

In this post, we carry out experiments for comparing the PyTorch ImageNetV1 and ImageNetV2 weights in the transfer learning task using EfficientNetB1. ...

In this post, we discuss all the updates that the Model Library got with PyTorch 1.12. New ImageNet weights, new Object Detection weights, and many more. ...

In this post, we solve the problem of concrete crack classification using deep learning with the MobileNetv3 model. ...