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Image Classification And Object Detection Using Pytorch

Using PyTorch for Image Classification and Object Detection

This course demystifies convolutional neural network architectures using PyTorch for image classification and object detection.

Intermediate

46 Lessons

4h

Certificate of Completion

This course demystifies convolutional neural network architectures using PyTorch for image classification and object detection.

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This course includes

17 Playgrounds
7 Quizzes

This course includes

17 Playgrounds
7 Quizzes
Course Overview
What You'll Learn
Course Content

Course Overview

Image classification and object detection have gained widespread use in recent years. Content categorization and monitoring, disease diagnosis from medical images, identifying terrain in satellite images, and detecting road elements for self-driving cars are classification problems at their core. PyTorch is a popular framework for these tasks—offering a useful mix of user-friendliness, deep learning functionalities, customization, and optimization. In this course, you will cover the fundamentals of classif...Show More

What You'll Learn

An understanding of core concepts related to image classification, object detection, and convolutional neural networks

Hands-on experience using image classification architectures

Familiarity with PyTorch for image classification tasks

Working knowledge of ONNX and OpenVINO for deploying deep learning models

What You'll Learn

An understanding of core concepts related to image classification, object detection, and convolutional neural networks

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Course Content

1

Before We Start

Introduction to the Course
Image Classification vs. Object Detection
Basics of Neural Networks
2

Basics of Convolutional Neural Networks

Introduction to the Basics of CNNsWhat is 2D Convolution?Images and FiltersConvolutional Neural NetworksQuiz on the Basics of CNNs
3

Popular Neural Network Architectures for Image Classification

Introduction to Architectures for Image ClassificationAlexNet (2012)VGG16 (2014)InceptionV1—GoogleNet (2014)ResNet (2015)MobileNetV1 (2017) and MobileNetV2 (2018)EfficientNet (2019)Image Classification Architectures SummaryQuiz on the Basics of CNNs and their Architectures
4

Using PyTorch for Image Classification

Introduction to PyTorch for Image ClassificationData PreparationTraining a Custom Model from Scratch Using PyTorchFine-Tuning ModelsTransfer LearningQuiz on Training Issues and Fine-Tuning
5

Model Deployment

Introduction to Model DeploymentUsing Deployment Frameworks with PyTorch
6

Basics of Object Detection

3 Lessons

7

Two-Stage Object Detection Architectures

5 Lessons

8

One-Stage Object Detection Architectures

7 Lessons

9

YOLOv7 Model Train and Inference on Edge

4 Lessons

10

Conclusion

1 Lesson

11

Appendix

1 Lesson

Course Author

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Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

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