Object Detection on Custom Dataset With Keras Using Python

سرفصل های دوره

Deep Learning-Based Object Detection for Computer Vision with Keras and TensorFlow in Google Colab Platform : Hands-on

1. Fundamentals

1. Introduction

2. Artificial Intelligence

3.1 Association Rule Unsupervised Machine Learning in Python.html

3.2 Classification Models Supervised Machine Learning in Python.html

3.3 Cluster Analysis Unsupervised Machine Learning in Python.html

3.4 Regression Analysis Supervised Machine Learning in Python.html

3. Machine Learning

4. Deep Learning

5.1 Deep Learning for Image Classification in Python with CNN.html

5. Object Detection

6. How object detection is done

7. Vision Transformer Architecture

2. Building, Evaluating and Predicting Object Detection Model

1.1 leopard_detection.zip

1. Download Dataset

2. What is inside leopards_images folder

3. What is inside leopards_annotation folder

4. What is the .h5 file

5. Object Detection Python Code

6. Enabling GPU in Google Colab

7. Is GPU connected to Colab notebook

8. Connect Google Colab with Google Drive

9. Download TensorFlow Addons

10. Check the Number of Images in the Dataset

11. Preparing the Dataset

12. Visualizing a Sample Image in the Dataset

13. Building Multilayer-Perceptron (MLP) Network

14. Building the Patch Creation Layer

15. Displaying Patches for an Input Image

16. Building the Patch Encoding Layer

17. Building Vision Transformer

18. Compiling and Displaying Model

19. Training the Model

20. Evaluating Intersection over Union Jaccard Index

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تولید کننده: Udemy-Training