Deep Learning Image Classification in PyTorch 2.0
Deep Learning | Computer Vision | Image Classification Model Training and Testing | PyTorch 2.0 | Python3
4.78 (45 reviews)
274
students
4.5 hours
content
Nov 2023
last update
$44.99
regular price
What you will learn
Learn to prepare an image classification dataset.
Learn to process the dataset by using image_folder and by extending the dataset class from torchvision.
Learn to prepare and test the data pipeline.
Learning about Data augmentation such as resize, cropping, ColorJitter, RandomHorizontalflip, RandomVerticalFlip, RandomRotation.
Understanding the detail architecture of LeNet, VGG16, Inception v3, and ResNet50 with complete block diagram.
Learn to train the model on less data through transfer learning.
Learning about training pipeline to train any image classification model.
Learning about inference pipeline to display the result.
Learning about evalution process of image classification model through Precision, Recall, F1 Score, and Accuracy.
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5641748
udemy ID
03/11/2023
course created date
27/12/2023
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