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GetFreeCourses.Co-Udemy-Deep Learning with PyTorch for Medical Image Analysis
magnet:?xt=urn:btih:8dcbdfe33b86767f88d0c30c5d0c96783a148feb&dn=GetFreeCourses.Co-Udemy-Deep Learning with PyTorch for Medical Image Analysis
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8dcbdfe33b86767f88d0c30c5d0c96783a148feb
infohash:
83
文件数量
3.64 GB
文件大小
2023-7-22 08:42
创建日期
2024-11-16 20:35
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GetFreeCourses
Co-Udemy-Deep
Learning
with
PyTorch
for
Medical
Image
Analysis
1. Introduction/1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4 34.41 MB
1. Introduction/2. Installation and Environment Setup.mp4 99.12 MB
1. Introduction/3. Course Curriculum.mp4 7.09 MB
10. Atrium-Segmentation/1. 01-Introduction.mp4 47.79 MB
10. Atrium-Segmentation/2. Preprocessing-01-Visualization.mp4 47.15 MB
10. Atrium-Segmentation/3. Preprocessing-02-Processing.mp4 43.54 MB
10. Atrium-Segmentation/4. Dataset-01-Dataset-Creation.mp4 40.42 MB
10. Atrium-Segmentation/5. Dataset-02-Dataset-Validation.mp4 24.49 MB
10. Atrium-Segmentation/6. UNet.mp4 64.46 MB
10. Atrium-Segmentation/7. Train-01-Data-Loading-and-Loss.mp4 29.55 MB
10. Atrium-Segmentation/8. Train-02-Model-Creation.mp4 50.65 MB
10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 63.43 MB
11. Capstone-Project Lung Tumor Segmentation/1. Introduction.mp4 23.18 MB
11. Capstone-Project Lung Tumor Segmentation/2. Overview.mp4 6.75 MB
11. Capstone-Project Lung Tumor Segmentation/3. Oversampling.mp4 27.08 MB
11. Capstone-Project Lung Tumor Segmentation/4. Discussion.mp4 27.08 MB
12. 3D Liver and Liver Tumor Segmentation/1. Introduction.mp4 27.07 MB
12. 3D Liver and Liver Tumor Segmentation/2. Data-Visualization.mp4 31.57 MB
12. 3D Liver and Liver Tumor Segmentation/3. Model.mp4 26.26 MB
12. 3D Liver and Liver Tumor Segmentation/4. Train-01-TorchIO-Dataset.mp4 59.83 MB
12. 3D Liver and Liver Tumor Segmentation/5. Train-02-Model-Creation.mp4 35.78 MB
12. 3D Liver and Liver Tumor Segmentation/6. Train-03-Evaluation.mp4 43.12 MB
2. Crash Course NumPy/1. Introduction to NumPy.mp4 11.28 MB
2. Crash Course NumPy/2. NumPy Arrays.mp4 50.81 MB
2. Crash Course NumPy/3. NumPy Arrays Part Two.mp4 46.56 MB
2. Crash Course NumPy/4. NumPy Index Selection.mp4 46.26 MB
2. Crash Course NumPy/5. NumPy Operations.mp4 33.28 MB
2. Crash Course NumPy/6. NumPy Exercises.mp4 11.54 MB
2. Crash Course NumPy/7. NumPy Exercise - Solutions.mp4 48.56 MB
3. Machine Learning Concepts Overview/1. What is Machine Learning.mp4 19.96 MB
3. Machine Learning Concepts Overview/2. Supervised Learning.mp4 39.91 MB
3. Machine Learning Concepts Overview/3. Overfitting.mp4 26.17 MB
3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 82.45 MB
3. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp4 23.59 MB
4. PyTorch Basics/1. PyTorch Basics Introduction.mp4 14.31 MB
4. PyTorch Basics/2. Tensor Basics.mp4 35.17 MB
4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 66.82 MB
4. PyTorch Basics/4. Tensor Operations.mp4 58.63 MB
4. PyTorch Basics/5. Tensor Operations-Part Two.mp4 28.16 MB
4. PyTorch Basics/6. PyTorch Basics - Exercise.mp4 15.19 MB
4. PyTorch Basics/7. PyTorch Basics - Exercise Solutions.mp4 29.83 MB
5. CNN - Convolutional Neural Networks/1. Introduction to CNNs.mp4 4.64 MB
5. CNN - Convolutional Neural Networks/10. MNIST Data Revisited.mp4 9.19 MB
5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 101.93 MB
5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 87.52 MB
5. CNN - Convolutional Neural Networks/13. MNIST with CNN - Code Along - Part Three.mp4 46.95 MB
5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 93 MB
5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 96.5 MB
5. CNN - Convolutional Neural Networks/2. Understanding the MNIST data set.mp4 14.38 MB
5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 97.88 MB
5. CNN - Convolutional Neural Networks/4. ANN with MNIST - Part Two - Creating the Network.mp4 52.54 MB
5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 78.16 MB
5. CNN - Convolutional Neural Networks/6. ANN with MNIST - Part Four - Evaluation.mp4 50.19 MB
5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 72.33 MB
5. CNN - Convolutional Neural Networks/8. Convolutional Layers.mp4 57.99 MB
5. CNN - Convolutional Neural Networks/9. Pooling Layers.mp4 27.64 MB
6. Medical Imaging - A short Introduction/1. Introduction.mp4 23.71 MB
6. Medical Imaging - A short Introduction/2. X-RAY.mp4 15.59 MB
6. Medical Imaging - A short Introduction/3. CT.mp4 27.12 MB
6. Medical Imaging - A short Introduction/4. MRI.mp4 17.98 MB
6. Medical Imaging - A short Introduction/5. PET.mp4 14.16 MB
7. Data Formats in Medical Imaging/1. Introduction.mp4 4.59 MB
7. Data Formats in Medical Imaging/2. DICOM.mp4 20.05 MB
7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 89.01 MB
7. Data Formats in Medical Imaging/4. NIfTI.mp4 10 MB
7. Data Formats in Medical Imaging/5. NIfTI-in-Python.mp4 40.59 MB
7. Data Formats in Medical Imaging/6. Preprocessing.mp4 65.06 MB
7. Data Formats in Medical Imaging/7. Preprocessing-in-Python-Part-1.mp4 60.21 MB
7. Data Formats in Medical Imaging/8. Preprocessing-in-Python-Part-2.mp4 60.32 MB
8. Pneumonia-Classification/1. Introduction.mp4 55.37 MB
8. Pneumonia-Classification/2. Preprocessing.mp4 86 MB
8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 69.81 MB
8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 82.82 MB
8. Pneumonia-Classification/5. Train-03-Trainer.mp4 20.72 MB
8. Pneumonia-Classification/6. Train-04-Evaluation.mp4 60.36 MB
8. Pneumonia-Classification/7. Interpretability.mp4 122.13 MB
9. Cardiac-Detection/1. 01-Introduction.mp4 27.14 MB
9. Cardiac-Detection/2. 02-Preprocessing.mp4 66.85 MB
9. Cardiac-Detection/3. 03-Dataset-Part-1.mp4 57.35 MB
9. Cardiac-Detection/4. 04-Dataset-Part-2.mp4 32.34 MB
9. Cardiac-Detection/5. Train-01-Data-Loading.mp4 22.54 MB
9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 95.7 MB
9. Cardiac-Detection/7. Train-03-Evaluation.mp4 42.57 MB
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