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| 1. 01-Introduction.mp4 |
47.79Мб |
| 1. 01-Introduction.mp4 |
27.14Мб |
| 1.1 Complete Course Material.html |
143б |
| 1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4 |
34.41Мб |
| 1. Introduction.mp4 |
23.18Мб |
| 1. Introduction.mp4 |
27.07Мб |
| 1. Introduction.mp4 |
23.71Мб |
| 1. Introduction.mp4 |
4.59Мб |
| 1. Introduction.mp4 |
55.37Мб |
| 1. Introduction to CNNs.mp4 |
4.64Мб |
| 1. Introduction to NumPy.mp4 |
11.28Мб |
| 1. PyTorch Basics Introduction.mp4 |
14.31Мб |
| 1. What is Machine Learning.mp4 |
19.96Мб |
| 10. MNIST Data Revisited.mp4 |
9.19Мб |
| 11. MNIST with CNN - Code Along - Part One.mp4 |
101.93Мб |
| 12. MNIST with CNN - Code Along - Part Two.mp4 |
87.52Мб |
| 13. MNIST with CNN - Code Along - Part Three.mp4 |
46.95Мб |
| 14. Why do we need GPUs.mp4 |
93.00Мб |
| 15. Using GPUs for PyTorch.mp4 |
96.50Мб |
| 2. 02-Preprocessing.mp4 |
66.85Мб |
| 2.1 Environment file.html |
143б |
| 2. Data-Visualization.mp4 |
31.57Мб |
| 2. DICOM.mp4 |
20.05Мб |
| 2. Installation and Environment Setup.mp4 |
99.12Мб |
| 2. NumPy Arrays.mp4 |
50.81Мб |
| 2. Overview.mp4 |
6.75Мб |
| 2. Preprocessing.mp4 |
86.00Мб |
| 2. Preprocessing-01-Visualization.mp4 |
47.15Мб |
| 2. Supervised Learning.mp4 |
39.91Мб |
| 2. Tensor Basics.mp4 |
35.17Мб |
| 2. Understanding the MNIST data set.mp4 |
14.38Мб |
| 2. X-RAY.mp4 |
15.59Мб |
| 3. 03-Dataset-Part-1.mp4 |
57.35Мб |
| 3. ANN with MNIST - Part One - Data.mp4 |
97.88Мб |
| 3. Course Curriculum.mp4 |
7.09Мб |
| 3. CT.mp4 |
27.12Мб |
| 3. DICOM-in-Python.mp4 |
89.01Мб |
| 3. Model.mp4 |
26.26Мб |
| 3. NumPy Arrays Part Two.mp4 |
46.56Мб |
| 3. Overfitting.mp4 |
26.17Мб |
| 3. Oversampling.mp4 |
27.08Мб |
| 3. Preprocessing-02-Processing.mp4 |
43.54Мб |
| 3. Tensor Basics-Part Two.mp4 |
66.82Мб |
| 3. Train-01-Data-Loading.mp4 |
69.81Мб |
| 4. 04-Dataset-Part-2.mp4 |
32.34Мб |
| 4. ANN with MNIST - Part Two - Creating the Network.mp4 |
52.54Мб |
| 4. Dataset-01-Dataset-Creation.mp4 |
40.42Мб |
| 4. Discussion.mp4 |
27.08Мб |
| 4. Evaluating Performance - Classification Error Metrics.mp4 |
82.45Мб |
| 4. MRI.mp4 |
17.98Мб |
| 4. NIfTI.mp4 |
10.00Мб |
| 4. NumPy Index Selection.mp4 |
46.26Мб |
| 4. Tensor Operations.mp4 |
58.63Мб |
| 4. Train-01-TorchIO-Dataset.mp4 |
59.83Мб |
| 4. Train-02-Model-Creation.mp4 |
82.82Мб |
| 5. ANN with MNIST - Part Three - Training.mp4 |
78.16Мб |
| 5. Dataset-02-Dataset-Validation.mp4 |
24.49Мб |
| 5. Evaluating Performance - Regression Error Metrics.mp4 |
23.59Мб |
| 5. NIfTI-in-Python.mp4 |
40.59Мб |
| 5. NumPy Operations.mp4 |
33.28Мб |
| 5. PET.mp4 |
14.16Мб |
| 5. Tensor Operations-Part Two.mp4 |
28.16Мб |
| 5. Train-01-Data-Loading.mp4 |
22.54Мб |
| 5. Train-02-Model-Creation.mp4 |
35.78Мб |
| 5. Train-03-Trainer.mp4 |
20.72Мб |
| 6. ANN with MNIST - Part Four - Evaluation.mp4 |
50.19Мб |
| 6. NumPy Exercises.mp4 |
11.54Мб |
| 6. Preprocessing.mp4 |
65.06Мб |
| 6. PyTorch Basics - Exercise.mp4 |
15.19Мб |
| 6. Train-02-Model-Creation.mp4 |
95.70Мб |
| 6. Train-03-Evaluation.mp4 |
43.12Мб |
| 6. Train-04-Evaluation.mp4 |
60.36Мб |
| 6. UNet.mp4 |
64.46Мб |
| 7. Image Filters and Kernels.mp4 |
72.33Мб |
| 7. Interpretability.mp4 |
122.13Мб |
| 7. NumPy Exercise - Solutions.mp4 |
48.56Мб |
| 7. Preprocessing-in-Python-Part-1.mp4 |
60.21Мб |
| 7. PyTorch Basics - Exercise Solutions.mp4 |
29.83Мб |
| 7. Train-01-Data-Loading-and-Loss.mp4 |
29.55Мб |
| 7. Train-03-Evaluation.mp4 |
42.57Мб |
| 8. Convolutional Layers.mp4 |
57.99Мб |
| 8. Preprocessing-in-Python-Part-2.mp4 |
60.32Мб |
| 8. Train-02-Model-Creation.mp4 |
50.65Мб |
| 9. Pooling Layers.mp4 |
27.64Мб |
| 9. Train-03-Evaluation.mp4 |
63.43Мб |
| Bonus Resources.txt |
357б |
| Get Bonus Downloads Here.url |
178б |