Udemy - Deep Learning with PyTorch for Medical Image Analysis

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Udemy - Deep Learning with PyTorch for Medical Image Analysis

Torrent Contents Size: 3.6 GB

Udemy - Deep Learning with PyTorch for Medical Image Analysis
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1. 01-Introduction.mp4
MP4
27.1 MB
1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4
MP4
34.4 MB
1. Introduction to CNNs.mp4
MP4
4.6 MB
1. Introduction to NumPy.mp4
MP4
11.3 MB
1. Introduction.mp4
MP4
55.4 MB
1. PyTorch Basics Introduction.mp4
MP4
14.3 MB
1. What is Machine Learning.mp4
MP4
20 MB
1.1 Complete Course Material.html
HTML
102.4 B
10. MNIST Data Revisited.mp4
MP4
9.2 MB
11. MNIST with CNN - Code Along - Part One.mp4
MP4
101.9 MB
12. MNIST with CNN - Code Along - Part Two.mp4
MP4
87.5 MB
13. MNIST with CNN - Code Along - Part Three.mp4
MP4
46.9 MB
14. Why do we need GPUs.mp4
MP4
93 MB
15. Using GPUs for PyTorch.mp4
MP4
96.5 MB
2. 02-Preprocessing.mp4
MP4
66.9 MB
2. DICOM.mp4
MP4
20 MB
2. Data-Visualization.mp4
MP4
31.6 MB
2. Installation and Environment Setup.mp4
MP4
99.1 MB
2. NumPy Arrays.mp4
MP4
50.8 MB
2. Overview.mp4
MP4
6.8 MB
2. Preprocessing-01-Visualization.mp4
MP4
47.1 MB
2. Preprocessing.mp4
MP4
86 MB
2. Supervised Learning.mp4
MP4
39.9 MB
2. Tensor Basics.mp4
MP4
35.2 MB
2. Understanding the MNIST data set.mp4
MP4
14.4 MB
2. X-RAY.mp4
MP4
15.6 MB
2.1 Environment file.html
HTML
102.4 B
3. 03-Dataset-Part-1.mp4
MP4
57.4 MB
3. ANN with MNIST - Part One - Data.mp4
MP4
97.9 MB
3. CT.mp4
MP4
27.1 MB
3. Course Curriculum.mp4
MP4
7.1 MB
3. DICOM-in-Python.mp4
MP4
89 MB
3. Model.mp4
MP4
26.3 MB
3. NumPy Arrays Part Two.mp4
MP4
46.6 MB
3. Overfitting.mp4
MP4
26.2 MB
3. Oversampling.mp4
MP4
27.1 MB
3. Preprocessing-02-Processing.mp4
MP4
43.5 MB
3. Tensor Basics-Part Two.mp4
MP4
66.8 MB
3. Train-01-Data-Loading.mp4
MP4
69.8 MB
4. 04-Dataset-Part-2.mp4
MP4
32.3 MB
4. ANN with MNIST - Part Two - Creating the Network.mp4
MP4
52.5 MB
4. Dataset-01-Dataset-Creation.mp4
MP4
40.4 MB
4. Discussion.mp4
MP4
27.1 MB
4. Evaluating Performance - Classification Error Metrics.mp4
MP4
82.5 MB
4. MRI.mp4
MP4
18 MB
4. NIfTI.mp4
MP4
10 MB
4. NumPy Index Selection.mp4
MP4
46.3 MB
4. Tensor Operations.mp4
MP4
58.6 MB
4. Train-01-TorchIO-Dataset.mp4
MP4
59.8 MB
4. Train-02-Model-Creation.mp4
MP4
82.8 MB
5. ANN with MNIST - Part Three - Training.mp4
MP4
78.2 MB
5. Dataset-02-Dataset-Validation.mp4
MP4
24.5 MB
5. Evaluating Performance - Regression Error Metrics.mp4
MP4
23.6 MB
5. NIfTI-in-Python.mp4
MP4
40.6 MB
5. NumPy Operations.mp4
MP4
33.3 MB
5. PET.mp4
MP4
14.2 MB
5. Tensor Operations-Part Two.mp4
MP4
28.2 MB
5. Train-01-Data-Loading.mp4
MP4
22.5 MB
5. Train-02-Model-Creation.mp4
MP4
35.8 MB
5. Train-03-Trainer.mp4
MP4
20.7 MB
6. ANN with MNIST - Part Four - Evaluation.mp4
MP4
50.2 MB
6. NumPy Exercises.mp4
MP4
11.5 MB
6. Preprocessing.mp4
MP4
65.1 MB
6. PyTorch Basics - Exercise.mp4
MP4
15.2 MB
6. Train-02-Model-Creation.mp4
MP4
95.7 MB
6. Train-03-Evaluation.mp4
MP4
43.1 MB
6. Train-04-Evaluation.mp4
MP4
60.4 MB
6. UNet.mp4
MP4
64.5 MB
7. Image Filters and Kernels.mp4
MP4
72.3 MB
7. Interpretability.mp4
MP4
122.1 MB
7. NumPy Exercise - Solutions.mp4
MP4
48.6 MB
7. Preprocessing-in-Python-Part-1.mp4
MP4
60.2 MB
7. PyTorch Basics - Exercise Solutions.mp4
MP4
29.8 MB
7. Train-01-Data-Loading-and-Loss.mp4
MP4
29.5 MB
7. Train-03-Evaluation.mp4
MP4
42.6 MB
8. Convolutional Layers.mp4
MP4
58 MB
8. Preprocessing-in-Python-Part-2.mp4
MP4
60.3 MB
8. Train-02-Model-Creation.mp4
MP4
50.7 MB
9. Pooling Layers.mp4
MP4
27.6 MB
9. Train-03-Evaluation.mp4
MP4
63.4 MB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B

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