Скачать с ютуб L-4 | Image Classification Using ResNet-18 and Pytorch в хорошем качестве

L-4 | Image Classification Using ResNet-18 and Pytorch

In this tutorial, you will embark on a journey through the world of image classification using the powerful ResNet18 model with PyTorch. We will guide you step-by-step on how to train the model on your dataset, capturing the nuances and features essential for accurate classification. Following training, you'll learn the critical skill of saving your model, enabling you to preserve and utilize your trained model in future tasks. But the learning doesn't stop there! You'll also master the art of loading the model back into your Python environment, a key step for deploying models or continuing training. Finally, you will apply the trained model to new data, testing its ability to classify images accurately. By the end of this tutorial, you'll be well-versed in handling the ResNet18 model for your image classification tasks using PyTorch. Github: https://github.com/AarohiSingla/Image... Dataset: https://github.com/AarohiSingla/Image... For queries: You can comment in comment section or you can email me at [email protected] #computervision #deeplearning #pytorch #imageclassification #imageclassification