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

Creation Time	Oct. 5, 2023, 8:59 p.m.
Last Access Time	Nov. 8, 2024, 5:50 p.m.
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Keywords	for Medical Co-Udemy-Deep PyTorch Analysis GetFreeCourses Learning with Image
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8. Pneumonia-Classification/7. Interpretability.mp4 122.1 MB
5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 101.9 MB
1. Introduction/2. Installation and Environment Setup.mp4 99.1 MB
5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 97.9 MB
5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 96.5 MB
9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 95.7 MB
5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 93.0 MB
7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 89.0 MB
5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 87.5 MB
8. Pneumonia-Classification/2. Preprocessing.mp4 86.0 MB
8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 82.8 MB
3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 82.5 MB
5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 78.2 MB
5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 72.3 MB
8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 69.8 MB
9. Cardiac-Detection/2. 02-Preprocessing.mp4 66.9 MB
4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 66.8 MB
7. Data Formats in Medical Imaging/6. Preprocessing.mp4 65.1 MB
10. Atrium-Segmentation/6. UNet.mp4 64.5 MB
10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 63.4 MB
8. Pneumonia-Classification/6. Train-04-Evaluation.mp4 60.4 MB
7. Data Formats in Medical Imaging/8. Preprocessing-in-Python-Part-2.mp4 60.3 MB
7. Data Formats in Medical Imaging/7. Preprocessing-in-Python-Part-1.mp4 60.2 MB
12. 3D Liver and Liver Tumor Segmentation/4. Train-01-TorchIO-Dataset.mp4 59.8 MB
4. PyTorch Basics/4. Tensor Operations.mp4 58.6 MB
5. CNN - Convolutional Neural Networks/8. Convolutional Layers.mp4 58.0 MB
9. Cardiac-Detection/3. 03-Dataset-Part-1.mp4 57.4 MB
8. Pneumonia-Classification/1. Introduction.mp4 55.4 MB
5. CNN - Convolutional Neural Networks/4. ANN with MNIST - Part Two - Creating the Network.mp4 52.5 MB
2. Crash Course NumPy/2. NumPy Arrays.mp4 50.8 MB
10. Atrium-Segmentation/8. Train-02-Model-Creation.mp4 50.7 MB
5. CNN - Convolutional Neural Networks/6. ANN with MNIST - Part Four - Evaluation.mp4 50.2 MB
2. Crash Course NumPy/7. NumPy Exercise - Solutions.mp4 48.6 MB
10. Atrium-Segmentation/1. 01-Introduction.mp4 47.8 MB
10. Atrium-Segmentation/2. Preprocessing-01-Visualization.mp4 47.1 MB
5. CNN - Convolutional Neural Networks/13. MNIST with CNN - Code Along - Part Three.mp4 46.9 MB
2. Crash Course NumPy/3. NumPy Arrays Part Two.mp4 46.6 MB
2. Crash Course NumPy/4. NumPy Index Selection.mp4 46.3 MB
10. Atrium-Segmentation/3. Preprocessing-02-Processing.mp4 43.5 MB
12. 3D Liver and Liver Tumor Segmentation/6. Train-03-Evaluation.mp4 43.1 MB
9. Cardiac-Detection/7. Train-03-Evaluation.mp4 42.6 MB
7. Data Formats in Medical Imaging/5. NIfTI-in-Python.mp4 40.6 MB
10. Atrium-Segmentation/4. Dataset-01-Dataset-Creation.mp4 40.4 MB
3. Machine Learning Concepts Overview/2. Supervised Learning.mp4 39.9 MB
12. 3D Liver and Liver Tumor Segmentation/5. Train-02-Model-Creation.mp4 35.8 MB
4. PyTorch Basics/2. Tensor Basics.mp4 35.2 MB
1. Introduction/1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4 34.4 MB
2. Crash Course NumPy/5. NumPy Operations.mp4 33.3 MB
9. Cardiac-Detection/4. 04-Dataset-Part-2.mp4 32.3 MB
12. 3D Liver and Liver Tumor Segmentation/2. Data-Visualization.mp4 31.6 MB
4. PyTorch Basics/7. PyTorch Basics - Exercise Solutions.mp4 29.8 MB
10. Atrium-Segmentation/7. Train-01-Data-Loading-and-Loss.mp4 29.5 MB
4. PyTorch Basics/5. Tensor Operations-Part Two.mp4 28.2 MB
5. CNN - Convolutional Neural Networks/9. Pooling Layers.mp4 27.6 MB
9. Cardiac-Detection/1. 01-Introduction.mp4 27.1 MB
6. Medical Imaging - A short Introduction/3. CT.mp4 27.1 MB
11. Capstone-Project Lung Tumor Segmentation/4. Discussion.mp4 27.1 MB
11. Capstone-Project Lung Tumor Segmentation/3. Oversampling.mp4 27.1 MB
12. 3D Liver and Liver Tumor Segmentation/1. Introduction.mp4 27.1 MB
12. 3D Liver and Liver Tumor Segmentation/3. Model.mp4 26.3 MB
3. Machine Learning Concepts Overview/3. Overfitting.mp4 26.2 MB
10. Atrium-Segmentation/5. Dataset-02-Dataset-Validation.mp4 24.5 MB
6. Medical Imaging - A short Introduction/1. Introduction.mp4 23.7 MB
3. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp4 23.6 MB
11. Capstone-Project Lung Tumor Segmentation/1. Introduction.mp4 23.2 MB
9. Cardiac-Detection/5. Train-01-Data-Loading.mp4 22.5 MB
8. Pneumonia-Classification/5. Train-03-Trainer.mp4 20.7 MB
7. Data Formats in Medical Imaging/2. DICOM.mp4 20.0 MB
3. Machine Learning Concepts Overview/1. What is Machine Learning.mp4 20.0 MB
6. Medical Imaging - A short Introduction/4. MRI.mp4 18.0 MB
6. Medical Imaging - A short Introduction/2. X-RAY.mp4 15.6 MB
4. PyTorch Basics/6. PyTorch Basics - Exercise.mp4 15.2 MB
5. CNN - Convolutional Neural Networks/2. Understanding the MNIST data set.mp4 14.4 MB
4. PyTorch Basics/1. PyTorch Basics Introduction.mp4 14.3 MB
6. Medical Imaging - A short Introduction/5. PET.mp4 14.2 MB
2. Crash Course NumPy/6. NumPy Exercises.mp4 11.5 MB
2. Crash Course NumPy/1. Introduction to NumPy.mp4 11.3 MB
7. Data Formats in Medical Imaging/4. NIfTI.mp4 10.0 MB
5. CNN - Convolutional Neural Networks/10. MNIST Data Revisited.mp4 9.2 MB
1. Introduction/3. Course Curriculum.mp4 7.1 MB
11. Capstone-Project Lung Tumor Segmentation/2. Overview.mp4 6.8 MB
5. CNN - Convolutional Neural Networks/1. Introduction to CNNs.mp4 4.6 MB
7. Data Formats in Medical Imaging/1. Introduction.mp4 4.6 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

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

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