GetFreeCourses.Co-Udemy-Deep Learning with PyTorch for Medical Image Analysis

磁力链接/BT种子名称

GetFreeCourses.Co-Udemy-Deep Learning with PyTorch for Medical Image Analysis

磁力链接/BT种子简介

种子哈希：8dcbdfe33b86767f88d0c30c5d0c96783a148feb
文件大小： 3.64G
已经下载：1455次
下载速度：极快
收录时间：2022-04-04
最近下载：2025-10-07

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文件列表

  • 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
  • 10. Atrium-Segmentation/How you can help GetFreeCourses.Co.txt 182 Bytes
  • 4. PyTorch Basics/How you can help GetFreeCourses.Co.txt 182 Bytes
  • How you can help GetFreeCourses.Co.txt 182 Bytes
  • 1. Introduction/1.1 Complete Course Material.html 143 Bytes
  • 1. Introduction/2.1 Environment file.html 143 Bytes
  • 10. Atrium-Segmentation/GetFreeCourses.Co.url 116 Bytes
  • 4. PyTorch Basics/GetFreeCourses.Co.url 116 Bytes
  • Download Paid Udemy Courses For Free.url 116 Bytes
  • GetFreeCourses.Co.url 116 Bytes

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