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

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文件列表

  1. 8. Pneumonia-Classification/7. Interpretability.mp4 122MB
  2. 5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 102MB
  3. 1. Introduction/2. Installation and Environment Setup.mp4 99MB
  4. 5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 98MB
  5. 5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 97MB
  6. 9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 96MB
  7. 5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 93MB
  8. 7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 89MB
  9. 5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 88MB
  10. 8. Pneumonia-Classification/2. Preprocessing.mp4 86MB
  11. 8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 83MB
  12. 3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 82MB
  13. 5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 78MB
  14. 5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 72MB
  15. 8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 70MB
  16. 9. Cardiac-Detection/2. 02-Preprocessing.mp4 67MB
  17. 4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 67MB
  18. 7. Data Formats in Medical Imaging/6. Preprocessing.mp4 65MB
  19. 10. Atrium-Segmentation/6. UNet.mp4 64MB
  20. 10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 63MB
  21. 8. Pneumonia-Classification/6. Train-04-Evaluation.mp4 60MB
  22. 7. Data Formats in Medical Imaging/8. Preprocessing-in-Python-Part-2.mp4 60MB
  23. 7. Data Formats in Medical Imaging/7. Preprocessing-in-Python-Part-1.mp4 60MB
  24. 12. 3D Liver and Liver Tumor Segmentation/4. Train-01-TorchIO-Dataset.mp4 60MB
  25. 4. PyTorch Basics/4. Tensor Operations.mp4 59MB
  26. 5. CNN - Convolutional Neural Networks/8. Convolutional Layers.mp4 58MB
  27. 9. Cardiac-Detection/3. 03-Dataset-Part-1.mp4 57MB
  28. 8. Pneumonia-Classification/1. Introduction.mp4 55MB
  29. 5. CNN - Convolutional Neural Networks/4. ANN with MNIST - Part Two - Creating the Network.mp4 53MB
  30. 2. Crash Course NumPy/2. NumPy Arrays.mp4 51MB
  31. 10. Atrium-Segmentation/8. Train-02-Model-Creation.mp4 51MB
  32. 5. CNN - Convolutional Neural Networks/6. ANN with MNIST - Part Four - Evaluation.mp4 50MB
  33. 2. Crash Course NumPy/7. NumPy Exercise - Solutions.mp4 49MB
  34. 10. Atrium-Segmentation/1. 01-Introduction.mp4 48MB
  35. 10. Atrium-Segmentation/2. Preprocessing-01-Visualization.mp4 47MB
  36. 5. CNN - Convolutional Neural Networks/13. MNIST with CNN - Code Along - Part Three.mp4 47MB
  37. 2. Crash Course NumPy/3. NumPy Arrays Part Two.mp4 47MB
  38. 2. Crash Course NumPy/4. NumPy Index Selection.mp4 46MB
  39. 10. Atrium-Segmentation/3. Preprocessing-02-Processing.mp4 44MB
  40. 12. 3D Liver and Liver Tumor Segmentation/6. Train-03-Evaluation.mp4 43MB
  41. 9. Cardiac-Detection/7. Train-03-Evaluation.mp4 43MB
  42. 7. Data Formats in Medical Imaging/5. NIfTI-in-Python.mp4 41MB
  43. 10. Atrium-Segmentation/4. Dataset-01-Dataset-Creation.mp4 40MB
  44. 3. Machine Learning Concepts Overview/2. Supervised Learning.mp4 40MB
  45. 12. 3D Liver and Liver Tumor Segmentation/5. Train-02-Model-Creation.mp4 36MB
  46. 4. PyTorch Basics/2. Tensor Basics.mp4 35MB
  47. 1. Introduction/1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4 34MB
  48. 2. Crash Course NumPy/5. NumPy Operations.mp4 33MB
  49. 9. Cardiac-Detection/4. 04-Dataset-Part-2.mp4 32MB
  50. 12. 3D Liver and Liver Tumor Segmentation/2. Data-Visualization.mp4 32MB
  51. 4. PyTorch Basics/7. PyTorch Basics - Exercise Solutions.mp4 30MB
  52. 10. Atrium-Segmentation/7. Train-01-Data-Loading-and-Loss.mp4 30MB
  53. 4. PyTorch Basics/5. Tensor Operations-Part Two.mp4 28MB
  54. 5. CNN - Convolutional Neural Networks/9. Pooling Layers.mp4 28MB
  55. 9. Cardiac-Detection/1. 01-Introduction.mp4 27MB
  56. 6. Medical Imaging - A short Introduction/3. CT.mp4 27MB
  57. 11. Capstone-Project Lung Tumor Segmentation/4. Discussion.mp4 27MB
  58. 11. Capstone-Project Lung Tumor Segmentation/3. Oversampling.mp4 27MB
  59. 12. 3D Liver and Liver Tumor Segmentation/1. Introduction.mp4 27MB
  60. 12. 3D Liver and Liver Tumor Segmentation/3. Model.mp4 26MB
  61. 3. Machine Learning Concepts Overview/3. Overfitting.mp4 26MB
  62. 10. Atrium-Segmentation/5. Dataset-02-Dataset-Validation.mp4 24MB
  63. 6. Medical Imaging - A short Introduction/1. Introduction.mp4 24MB
  64. 3. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp4 24MB
  65. 11. Capstone-Project Lung Tumor Segmentation/1. Introduction.mp4 23MB
  66. 9. Cardiac-Detection/5. Train-01-Data-Loading.mp4 23MB
  67. 8. Pneumonia-Classification/5. Train-03-Trainer.mp4 21MB
  68. 7. Data Formats in Medical Imaging/2. DICOM.mp4 20MB
  69. 3. Machine Learning Concepts Overview/1. What is Machine Learning.mp4 20MB
  70. 6. Medical Imaging - A short Introduction/4. MRI.mp4 18MB
  71. 6. Medical Imaging - A short Introduction/2. X-RAY.mp4 16MB
  72. 4. PyTorch Basics/6. PyTorch Basics - Exercise.mp4 15MB
  73. 5. CNN - Convolutional Neural Networks/2. Understanding the MNIST data set.mp4 14MB
  74. 4. PyTorch Basics/1. PyTorch Basics Introduction.mp4 14MB
  75. 6. Medical Imaging - A short Introduction/5. PET.mp4 14MB
  76. 2. Crash Course NumPy/6. NumPy Exercises.mp4 12MB
  77. 2. Crash Course NumPy/1. Introduction to NumPy.mp4 11MB
  78. 7. Data Formats in Medical Imaging/4. NIfTI.mp4 10MB
  79. 5. CNN - Convolutional Neural Networks/10. MNIST Data Revisited.mp4 9MB
  80. 1. Introduction/3. Course Curriculum.mp4 7MB
  81. 11. Capstone-Project Lung Tumor Segmentation/2. Overview.mp4 7MB
  82. 5. CNN - Convolutional Neural Networks/1. Introduction to CNNs.mp4 5MB
  83. 7. Data Formats in Medical Imaging/1. Introduction.mp4 5MB
  84. 10. Atrium-Segmentation/How you can help GetFreeCourses.Co.txt 182B
  85. 4. PyTorch Basics/How you can help GetFreeCourses.Co.txt 182B
  86. How you can help GetFreeCourses.Co.txt 182B
  87. 1. Introduction/1.1 Complete Course Material.html 143B
  88. 1. Introduction/2.1 Environment file.html 143B
  89. 10. Atrium-Segmentation/GetFreeCourses.Co.url 116B
  90. 4. PyTorch Basics/GetFreeCourses.Co.url 116B
  91. Download Paid Udemy Courses For Free.url 116B
  92. GetFreeCourses.Co.url 116B