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[ TutGator.com ] Udemy - Deep Learning with PyTorch for Medical Image Analysis
Category:
Other
Size:
3.64 GB
Seeders:
5
Leechers:
2
Downloads:
617
Uploaded:
Feb 12, 2022
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[ TutGator.com ] Udemy - Deep Learning with PyTorch for Medical Image Analysis
~Get Your Files Here !
8. Pneumonia-Classification
7. Interpretability.mp4
- 122.13 MB
2. Preprocessing.mp4
- 86 MB
4. Train-02-Model-Creation.mp4
- 82.82 MB
3. Train-01-Data-Loading.mp4
- 69.81 MB
6. Train-04-Evaluation.mp4
- 60.36 MB
1. Introduction.mp4
- 55.37 MB
5. Train-03-Trainer.mp4
- 20.72 MB
5. CNN - Convolutional Neural Networks
11. MNIST with CNN - Code Along - Part One.mp4
- 101.93 MB
3. ANN with MNIST - Part One - Data.mp4
- 97.88 MB
15. Using GPUs for PyTorch.mp4
- 96.5 MB
14. Why do we need GPUs.mp4
- 93 MB
12. MNIST with CNN - Code Along - Part Two.mp4
- 87.52 MB
5. ANN with MNIST - Part Three - Training.mp4
- 78.16 MB
7. Image Filters and Kernels.mp4
- 72.33 MB
8. Convolutional Layers.mp4
- 57.99 MB
4. ANN with MNIST - Part Two - Creating the Network.mp4
- 52.54 MB
6. ANN with MNIST - Part Four - Evaluation.mp4
- 50.19 MB
13. MNIST with CNN - Code Along - Part Three.mp4
- 46.95 MB
9. Pooling Layers.mp4
- 27.64 MB
2. Understanding the MNIST data set.mp4
- 14.38 MB
10. MNIST Data Revisited.mp4
- 9.19 MB
1. Introduction to CNNs.mp4
- 4.64 MB
1. Introduction
2. Installation and Environment Setup.mp4
- 99.12 MB
1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4
- 34.41 MB
3. Course Curriculum.mp4
- 7.09 MB
1.1 Complete Course Material.html
- 143 B
2.1 Environment file.html
- 143 B
9. Cardiac-Detection
6. Train-02-Model-Creation.mp4
- 95.7 MB
2. 02-Preprocessing.mp4
- 66.85 MB
3. 03-Dataset-Part-1.mp4
- 57.35 MB
7. Train-03-Evaluation.mp4
- 42.57 MB
4. 04-Dataset-Part-2.mp4
- 32.34 MB
1. 01-Introduction.mp4
- 27.14 MB
5. Train-01-Data-Loading.mp4
- 22.54 MB
7. Data Formats in Medical Imaging
3. DICOM-in-Python.mp4
- 89.01 MB
6. Preprocessing.mp4
- 65.06 MB
8. Preprocessing-in-Python-Part-2.mp4
- 60.32 MB
7. Preprocessing-in-Python-Part-1.mp4
- 60.21 MB
5. NIfTI-in-Python.mp4
- 40.59 MB
2. DICOM.mp4
- 20.05 MB
4. NIfTI.mp4
- 10 MB
1. Introduction.mp4
- 4.59 MB
3. Machine Learning Concepts Overview
4. Evaluating Performance - Classification Error Metrics.mp4
- 82.45 MB
2. Supervised Learning.mp4
- 39.91 MB
3. Overfitting.mp4
- 26.17 MB
5. Evaluating Performance - Regression Error Metrics.mp4
- 23.59 MB
1. What is Machine Learning.mp4
- 19.96 MB
4. PyTorch Basics
3. Tensor Basics-Part Two.mp4
- 66.82 MB
4. Tensor Operations.mp4
- 58.63 MB
2. Tensor Basics.mp4
- 35.17 MB
7. PyTorch Basics - Exercise Solutions.mp4
- 29.83 MB
5. Tensor Operations-Part Two.mp4
- 28.16 MB
6. PyTorch Basics - Exercise.mp4
- 15.19 MB
1. PyTorch Basics Introduction.mp4
- 14.31 MB
10. Atrium-Segmentation
6. UNet.mp4
- 64.46 MB
9. Train-03-Evaluation.mp4
- 63.43 MB
8. Train-02-Model-Creation.mp4
- 50.65 MB
1. 01-Introduction.mp4
- 47.79 MB
2. Preprocessing-01-Visualization.mp4
- 47.15 MB
3. Preprocessing-02-Processing.mp4
- 43.54 MB
4. Dataset-01-Dataset-Creation.mp4
- 40.42 MB
7. Train-01-Data-Loading-and-Loss.mp4
- 29.55 MB
5. Dataset-02-Dataset-Validation.mp4
- 24.49 MB
12. 3D Liver and Liver Tumor Segmentation
4. Train-01-TorchIO-Dataset.mp4
- 59.83 MB
6. Train-03-Evaluation.mp4
- 43.12 MB
5. Train-02-Model-Creation.mp4
- 35.78 MB
2. Data-Visualization.mp4
- 31.57 MB
1. Introduction.mp4
- 27.07 MB
3. Model.mp4
- 26.26 MB
2. Crash Course NumPy
2. NumPy Arrays.mp4
- 50.81 MB
7. NumPy Exercise - Solutions.mp4
- 48.56 MB
3. NumPy Arrays Part Two.mp4
- 46.56 MB
4. NumPy Index Selection.mp4
- 46.26 MB
5. NumPy Operations.mp4
- 33.28 MB
6. NumPy Exercises.mp4
- 11.54 MB
1. Introduction to NumPy.mp4
- 11.28 MB
6. Medical Imaging - A short Introduction
3. CT.mp4
- 27.12 MB
1. Introduction.mp4
- 23.71 MB
4. MRI.mp4
- 17.98 MB
2. X-RAY.mp4
- 15.59 MB
5. PET.mp4
- 14.16 MB
11. Capstone-Project Lung Tumor Segmentation
4. Discussion.mp4
- 27.08 MB
3. Oversampling.mp4
- 27.08 MB
1. Introduction.mp4
- 23.18 MB
2. Overview.mp4
- 6.75 MB
Bonus Resources.txt
- 357 B
Get Bonus Downloads Here.url
- 178 B
Trackers
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udp://www.torrent.eu.org:451/announce
5
2
223
udp://9.rarbg.com:2920/announce
3
1
3
udp://tracker.opentrackr.org:1337/announce
5
1
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udp://open.stealth.si:80/announce
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82
InfoHash:
7B9C5C3358F526A92D96AC44E8258F809E0398EE
Last updated:
Feb 12, 2022
File count:
87 B
File Category:
1
Tags:
tutgator, udemy, deep, learning, pytorch, medical, image, analysis
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