L-5 | Image Classification Using ResNet-18 and Pytorch

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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.

#computervision #deeplearning #pytorch #imageclassification #imageclassification

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This is one of the few tutorials that worked for me. Thankyou ❤❤

tapaswee

Excellent tutorial. Would you mind sharing how i would make my model more accurate wrt predictions?

ivensichalwe

this is so so so helpful! i have been stuck for weeks and this is amazing!

youtubeaccount

Am not able to download the complete dataset in folder, Its allowing to download the files one by one

sruthibaskar

Shouldn't we redefine FC to 2 classes?

navidnazem

Well explained.❤❤❤
Any videos of medical image classification available

rafeeda

hi good tuto. One question i try to create my own dataset. You don't tell in the video if the label process is required ? with labelimg for example ?
thx

benoitd

Mam. Freezing all layers except the final classification layer is called transfer learning. And customized with our own dataset so it's also fine tuned model. The way I understand is correct ?

karthickkuduva

hey i have a question that, as we have copied the weights and biases from the loaded model to the new model, then shouldn't we use new_model for performing inference as well?

salihamirza

plz provided the updated code of vgg-16/ resnet50 or any that resolved the version error thanks

therock

Thank you ma, but how did you get mean and standard deviation?

bilkisuismail

Mam make a video on YOLOv8 model customization or change layer

AlAmin-xyff

it is giving error I am taking 11 classes for this for emoji prediction

ABHINAYYADAV-jh

L-5 | Image Classification Using ResNet-18 and Pytorch

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