Mastering Image Segmentation with PyTorch

سرفصل های دوره

Master the art of image segmentation with PyTorch with hands-on training and real-world projects

1. Course Overview & Setup

1. Image Segmentation (101)

2. Course Scope

3. System Setup

4. How to Get The Material

5. Conda Environment Setup

2. PyTorch Introduction

1. PyTorch Introduction (101)

2. From Tensors to Computational Graphs (101)

3. Tensor (Coding)

4. Linear Regression from Scratch (Coding, Model Training)

5. Linear Regression from Scratch (Coding, Model Evaluation)

6. Model Class (Coding)

7. Exercise Learning Rate and Number of Epochs

8. Solution Learning Rate and Number of Epochs

9. Batches (101)

10. Batches (Coding)

11. Datasets and Dataloaders (101)

12. Datasets and Dataloaders (Coding)

13. Saving and Loading Models (101)

14. Saving and Loading Models (Coding)

15. Model Training (101)

16. Hyperparameter Tuning (101)

17. Hyperparameter Tuning (Coding)

3. Convolutional Neural Networks

1. CNN Introduction (101)

2. CNN (Interactive)

3. Image Preprocessing (101)

4. Image Preprocessing (Coding)

5. Layer Calculations (101)

6. Layer Calculations (Coding)

4. Semantic Segmentation

1. Architecture (101)

2. Upsampling (101)

3. Loss Functions (101)

4. Evaluation Metrics (101)

5. Coding Introduction (101)

6. Data Prep Intro (101)

7. Data Prep I create folders (Coding)

8. Data Prep II patches function (Coding)

9. Data Prep III create all patch-images (Coding)

10. Modeling Dataset (Coding)

11. Modeling Model Setup (Coding)

12. Modeling Training Loop (Coding)

13. Modeling Losses and Saving (Coding)

14. Model Evaluation Calc Metrics (Coding)

15. Model Evaluation Check Prediction (Coding)

5. Additional Information

1. Bonus Lecture.html

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تولید کننده: Udemy-Training