| 8. Pneumonia-Classification/7. Interpretability.mp4 | 122.13 MB |
| 5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 | 101.93 MB |
| 1. Introduction/2. Installation and Environment Setup.mp4 | 99.12 MB |
| 5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 | 97.88 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 MB |
| 7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 | 89.01 MB |
| 5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 | 87.52 MB |
| 8. Pneumonia-Classification/2. Preprocessing.mp4 | 86 MB |
| 8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 | 82.82 MB |
| 3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 | 82.45 MB |
| 5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 | 78.16 MB |
| 5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 | 72.33 MB |
| 8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 | 69.81 MB |
| 9. Cardiac-Detection/2. 02-Preprocessing.mp4 | 66.85 MB |
| 4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 | 66.82 MB |
| 7. Data Formats in Medical Imaging/6. Preprocessing.mp4 | 65.06 MB |
| 10. Atrium-Segmentation/6. UNet.mp4 | 64.46 MB |
| 10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 | 63.43 MB |
| 8. Pneumonia-Classification/6. Train-04-Evaluation.mp4 | 60.36 MB |
| 7. Data Formats in Medical Imaging/8. Preprocessing-in-Python-Part-2.mp4 | 60.32 MB |
| 7. Data Formats in Medical Imaging/7. Preprocessing-in-Python-Part-1.mp4 | 60.21 MB |
| 12. 3D Liver and Liver Tumor Segmentation/4. Train-01-TorchIO-Dataset.mp4 | 59.83 MB |
| 4. PyTorch Basics/4. Tensor Operations.mp4 | 58.63 MB |
| 5. CNN - Convolutional Neural Networks/8. Convolutional Layers.mp4 | 57.99 MB |
| 9. Cardiac-Detection/3. 03-Dataset-Part-1.mp4 | 57.35 MB |
| 8. Pneumonia-Classification/1. Introduction.mp4 | 55.37 MB |
| 5. CNN - Convolutional Neural Networks/4. ANN with MNIST - Part Two - Creating the Network.mp4 | 52.54 MB |
| 2. Crash Course NumPy/2. NumPy Arrays.mp4 | 50.81 MB |
| 10. Atrium-Segmentation/8. Train-02-Model-Creation.mp4 | 50.65 MB |
| 5. CNN - Convolutional Neural Networks/6. ANN with MNIST - Part Four - Evaluation.mp4 | 50.19 MB |
| 2. Crash Course NumPy/7. NumPy Exercise - Solutions.mp4 | 48.56 MB |
| 10. Atrium-Segmentation/1. 01-Introduction.mp4 | 47.79 MB |
| 10. Atrium-Segmentation/2. Preprocessing-01-Visualization.mp4 | 47.15 MB |
| 5. CNN - Convolutional Neural Networks/13. MNIST with CNN - Code Along - Part Three.mp4 | 46.95 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 |
| 10. Atrium-Segmentation/3. Preprocessing-02-Processing.mp4 | 43.54 MB |
| 12. 3D Liver and Liver Tumor Segmentation/6. Train-03-Evaluation.mp4 | 43.12 MB |
| 9. Cardiac-Detection/7. Train-03-Evaluation.mp4 | 42.57 MB |
| 7. Data Formats in Medical Imaging/5. NIfTI-in-Python.mp4 | 40.59 MB |
| 10. Atrium-Segmentation/4. Dataset-01-Dataset-Creation.mp4 | 40.42 MB |
| 3. Machine Learning Concepts Overview/2. Supervised Learning.mp4 | 39.91 MB |
| 12. 3D Liver and Liver Tumor Segmentation/5. Train-02-Model-Creation.mp4 | 35.78 MB |
| 4. PyTorch Basics/2. Tensor Basics.mp4 | 35.17 MB |
| 1. Introduction/1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4 | 34.41 MB |
| 2. Crash Course NumPy/5. NumPy Operations.mp4 | 33.28 MB |
| 9. Cardiac-Detection/4. 04-Dataset-Part-2.mp4 | 32.34 MB |
| 12. 3D Liver and Liver Tumor Segmentation/2. Data-Visualization.mp4 | 31.57 MB |