Deep Learning with Python & Pytorch for Image Classification
Deep Learning and Computer Vision for Image Classification with PyTorch, Python. Train and Deploy Models on Custom data
4.58 (146 reviews)
3,908
students
3.5 hours
content
Feb 2025
last update
$49.99
regular price
What you will learn
Learn Image Classification using Advanced Deep Learning Models with Python and PyTorch
Learn Single-Label Image Classification and Multi-Label Image Classification with Python and PyTorch
Perform Image Classification by building Convolutional Neural Networks from Scratch
Learn Deep CNNs Architectures including LeNet, AlexNet, Resnet, GoogleNet, VGG
Deep Learning Pre-trained Models Such as ResNet and AlexNet for Image Classification
Master Transfer Learning by Employing Pre-trained Deep Learning Models.
Perform Data Preprocessing using Transformations with Pytorch
Perform Single-Label Image Classification with ResNet and AlexNet
Perform Multi-Label Image Classification with ResNet and AlexNet
Custom Dataset, Data Augmentation, Dataloaders, and Training Function
Deep ResNet Model FineTuning for Image Classification
ResNet Model HyperParameteres Optimization
Deep ResNet Model as Fixed Feature Extractor
Models Optimization, Training and Results Visualization
Calculate Accuracy, Precision, Recall, and F1 Score for Image Classification
Calculate and Visualize Confusion Matrix for Detailed Classification Model Performance
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Related Topics
4681154
udemy ID
5/10/2022
course created date
5/14/2022
course indexed date
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