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[FreeCourseSite.com] Udemy - Deep Learning with PyTorch for Medical Image Analysis
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0188033022005342a94bffb48b90e99378e648c3
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3.9 GB
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89
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收录时间:
2022-01-09
最近下载:
2025-01-03
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文档列表
8. Pneumonia-Classification/7. Interpretability.mp4
128.1 MB
5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4
106.9 MB
1. Introduction/2. Installation and Environment Setup.mp4
103.9 MB
5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4
102.6 MB
5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4
101.2 MB
9. Cardiac-Detection/6. Train-02-Model-Creation.mp4
100.3 MB
5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4
97.5 MB
7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4
93.3 MB
5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4
91.8 MB
8. Pneumonia-Classification/2. Preprocessing.mp4
90.2 MB
8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4
86.8 MB
3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4
86.5 MB
5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4
82.0 MB
5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4
75.8 MB
8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4
73.2 MB
9. Cardiac-Detection/2. 02-Preprocessing.mp4
70.1 MB
4. PyTorch Basics/3. Tensor Basics-Part Two.mp4
70.1 MB
7. Data Formats in Medical Imaging/6. Preprocessing.mp4
68.2 MB
10. Atrium-Segmentation/6. UNet.mp4
67.6 MB
10. Atrium-Segmentation/9. Train-03-Evaluation.mp4
66.5 MB
8. Pneumonia-Classification/6. Train-04-Evaluation.mp4
63.3 MB
7. Data Formats in Medical Imaging/8. Preprocessing-in-Python-Part-2.mp4
63.3 MB
7. Data Formats in Medical Imaging/7. Preprocessing-in-Python-Part-1.mp4
63.1 MB
12. 3D Liver and Liver Tumor Segmentation/4. Train-01-TorchIO-Dataset.mp4
62.7 MB
4. PyTorch Basics/4. Tensor Operations.mp4
61.5 MB
5. CNN - Convolutional Neural Networks/8. Convolutional Layers.mp4
60.8 MB
9. Cardiac-Detection/3. 03-Dataset-Part-1.mp4
60.1 MB
8. Pneumonia-Classification/1. Introduction.mp4
58.1 MB
5. CNN - Convolutional Neural Networks/4. ANN with MNIST - Part Two - Creating the Network.mp4
55.1 MB
2. Crash Course NumPy/2. NumPy Arrays.mp4
53.3 MB
10. Atrium-Segmentation/8. Train-02-Model-Creation.mp4
53.1 MB
5. CNN - Convolutional Neural Networks/6. ANN with MNIST - Part Four - Evaluation.mp4
52.6 MB
2. Crash Course NumPy/7. NumPy Exercise - Solutions.mp4
50.9 MB
10. Atrium-Segmentation/1. 01-Introduction.mp4
50.1 MB
10. Atrium-Segmentation/2. Preprocessing-01-Visualization.mp4
49.4 MB
5. CNN - Convolutional Neural Networks/13. MNIST with CNN - Code Along - Part Three.mp4
49.2 MB
2. Crash Course NumPy/3. NumPy Arrays Part Two.mp4
48.8 MB
2. Crash Course NumPy/4. NumPy Index Selection.mp4
48.5 MB
10. Atrium-Segmentation/3. Preprocessing-02-Processing.mp4
45.7 MB
12. 3D Liver and Liver Tumor Segmentation/6. Train-03-Evaluation.mp4
45.2 MB
9. Cardiac-Detection/7. Train-03-Evaluation.mp4
44.6 MB
7. Data Formats in Medical Imaging/5. NIfTI-in-Python.mp4
42.6 MB
10. Atrium-Segmentation/4. Dataset-01-Dataset-Creation.mp4
42.4 MB
3. Machine Learning Concepts Overview/2. Supervised Learning.mp4
41.8 MB
12. 3D Liver and Liver Tumor Segmentation/5. Train-02-Model-Creation.mp4
37.5 MB
4. PyTorch Basics/2. Tensor Basics.mp4
36.9 MB
1. Introduction/1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4
36.1 MB
2. Crash Course NumPy/5. NumPy Operations.mp4
34.9 MB
9. Cardiac-Detection/4. 04-Dataset-Part-2.mp4
33.9 MB
12. 3D Liver and Liver Tumor Segmentation/2. Data-Visualization.mp4
33.1 MB
4. PyTorch Basics/7. PyTorch Basics - Exercise Solutions.mp4
31.3 MB
10. Atrium-Segmentation/7. Train-01-Data-Loading-and-Loss.mp4
31.0 MB
4. PyTorch Basics/5. Tensor Operations-Part Two.mp4
29.5 MB
5. CNN - Convolutional Neural Networks/9. Pooling Layers.mp4
29.0 MB
9. Cardiac-Detection/1. 01-Introduction.mp4
28.5 MB
6. Medical Imaging - A short Introduction/3. CT.mp4
28.4 MB
11. Capstone-Project Lung Tumor Segmentation/4. Discussion.mp4
28.4 MB
11. Capstone-Project Lung Tumor Segmentation/3. Oversampling.mp4
28.4 MB
12. 3D Liver and Liver Tumor Segmentation/1. Introduction.mp4
28.4 MB
12. 3D Liver and Liver Tumor Segmentation/3. Model.mp4
27.5 MB
3. Machine Learning Concepts Overview/3. Overfitting.mp4
27.4 MB
10. Atrium-Segmentation/5. Dataset-02-Dataset-Validation.mp4
25.7 MB
6. Medical Imaging - A short Introduction/1. Introduction.mp4
24.9 MB
3. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp4
24.7 MB
11. Capstone-Project Lung Tumor Segmentation/1. Introduction.mp4
24.3 MB
9. Cardiac-Detection/5. Train-01-Data-Loading.mp4
23.6 MB
8. Pneumonia-Classification/5. Train-03-Trainer.mp4
21.7 MB
7. Data Formats in Medical Imaging/2. DICOM.mp4
21.0 MB
3. Machine Learning Concepts Overview/1. What is Machine Learning.mp4
20.9 MB
6. Medical Imaging - A short Introduction/4. MRI.mp4
18.9 MB
6. Medical Imaging - A short Introduction/2. X-RAY.mp4
16.3 MB
4. PyTorch Basics/6. PyTorch Basics - Exercise.mp4
15.9 MB
5. CNN - Convolutional Neural Networks/2. Understanding the MNIST data set.mp4
15.1 MB
4. PyTorch Basics/1. PyTorch Basics Introduction.mp4
15.0 MB
6. Medical Imaging - A short Introduction/5. PET.mp4
14.8 MB
2. Crash Course NumPy/6. NumPy Exercises.mp4
12.1 MB
2. Crash Course NumPy/1. Introduction to NumPy.mp4
11.8 MB
7. Data Formats in Medical Imaging/4. NIfTI.mp4
10.5 MB
5. CNN - Convolutional Neural Networks/10. MNIST Data Revisited.mp4
9.6 MB
1. Introduction/3. Course Curriculum.mp4
7.4 MB
11. Capstone-Project Lung Tumor Segmentation/2. Overview.mp4
7.1 MB
5. CNN - Convolutional Neural Networks/1. Introduction to CNNs.mp4
4.9 MB
7. Data Formats in Medical Imaging/1. Introduction.mp4
4.8 MB
1. Introduction/1.1 Complete Course Material.html
143 Bytes
1. Introduction/2.1 Environment file.html
143 Bytes
0. Websites you may like/[FCS Forum].url
133 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
0. Websites you may like/[CourseClub.ME].url
122 Bytes
0. Websites you may like/[GigaCourse.Com].url
49 Bytes
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