Machine Learning and Deep Learning
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 solve the problem of concrete crack classification using deep learning with the MobileNetv3 model. ...
In this post, we explore how to carry out Stanford Cars classification using EfficientNet B1 model and PyTorch ...
This post shows how to train a custom neural network model on the traffic sign recognition dataset using PyTorch. ...
In this post, we carry out traffic sign recognition using PyTorch and Deep Learning with the MobileNetV3 Large Neural Network model. ...
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