Deep Learning with Python for Image Classification

سرفصل های دوره

Learn Deep Learning & Computer Vision for Image Classification using Transfer Learning and Pre-trained Models in Python

1. Introduction

1. Introduction to the Course

2. Define Image Classification

1. Image Classification with single label and multi-label

3. Pretrained Models Definition

1. PreTrained Models and their Applications

4. Deep Learning Architectures for Image Classification

1. Deep Learning ResNet and AlexNet Architectures for Image Classification

5. Google Colab for Writing Python Code

1. Set-up Google Colab for Writing Python Code

6. Connect Google Colab with Google Drive

1. Connect Google Colab with Google Drive to Read and Write Data

7. Access Data from Google Drive to Colab

1. Read Data from Google Drive to Colab Notebook

8. Data Preprocessing for Image Classification

1. Perform Data Preprocessing for Image Classification

9. Single-Label Image Classification using Deep Learning Models

1. Single-Label Image Classification using ResNet and AlexNet PreTrained Models

2.1 imagenet1000classes.zip

2.2 pizza.zip

2.3 single-label classification.zip

2. Python Code for Single-label Classification.html

10. Multi-Label Image Classification using Deep Learning Models

1. Multi-Label Image Classification using ResNet and AlexNet PreTrained Models

2.1 dog and cat.zip

2.2 imagenet1000classes.zip

2.3 multi-label classification.zip

2. Python Code for Multi-Label Classification.html

11. Transfer Learning

1. Introduction to Transfer Learning

12. Link Google Drive with Google Colab

1. Link Google Drive with Google Colab

13. Dataset, Data Augmentation, Dataloaders, and Training Function

1. Dataset, Data Augmentation, Dataloaders, and Training Function

14. Deep ResNet Model FineTuning

1. Deep ResNet Model FineTuning

15. Model Optimization

1. ResNet Model HyperParameteres Optimization

16. Deep ResNet Training

1. Deep ResNet Model Training

17. Deep ResNet Feature Extractor

1. Deep ResNet as Fixed Feature Extractor

18. Model Optimization, Training and Results

1. Model Optimization, Training and Results Visualization

19. Resources Code and dataset of FineTuning and Model Feature Extractor

1.1 Classification Dataset.zip

1.2 classification_transferlearning_resnet.zip

1.3 classification_transferlearning_resnet.zip

1. Resources Code for Transfer Learning by FineTuning and Model Feature Extractor

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تولید کننده: Udemy-Training