Download Udemy - Deep Learning with PyTorch for Medical Image Analysis torrent

Udemy - Deep Learning with PyTorch for Medical Image Analysis

Torrent:	Udemy - Deep Learning with PyTorch for Medical Image Analysis
Description:	Deep Learning with PyTorch for Medical Image Analysis https://TutGator.com Genre: eLearning \| MP4 \| Video: h264, 1280x720 \| Audio: AAC, 48.0 KHz Language: English \| Size: 3.64 GB \| Duration: 12h 0m Learn how to use Pytorch-Lightning to solve real world medical imaging tasks! What you'll learn Learn how to use NumPy Learn classic machine learning theory principals Foundations of Medical Imaging Data Formats in Medical Imaging Creating Artificial Neural Networks with PyTorch Use PyTorch-Lightning for state of the art training Visualize the decision of a CNN 2D & 3D data handling Automatic Cancer Segmentation Description Did you ever want to apply Deep Neural Networks to more than MNIST, CIFAR10 or cats vs dogs? Do you want to learn about state of the art Machine Learning frameworks while segmenting cancer in CT-images? Then this is the right course for you!
Downloads:	79
Category:	Other /Tutorials
Size:	3.6 GB
Show Files »	[ TutGator.com ] Udemy - Deep Learning with PyTorch for Medical Image Analysis Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4 (34.4 MB) 1.1 Complete Course Material.html (0.1 KB) 2. Installation and Environment Setup.mp4 (99.1 MB) 2.1 Environment file.html (0.1 KB) 3. Course Curriculum.mp4 (7.1 MB) 10. Atrium-Segmentation 1. 01-Introduction.mp4 (47.8 MB) 2. Preprocessing-01-Visualization.mp4 (47.1 MB) 3. Preprocessing-02-Processing.mp4 (43.5 MB) 4. Dataset-01-Dataset-Creation.mp4 (40.4 MB) 5. Dataset-02-Dataset-Validation.mp4 (24.5 MB) 6. UNet.mp4 (64.5 MB) 7. Train-01-Data-Loading-and-Loss.mp4 (29.5 MB) 8. Train-02-Model-Creation.mp4 (50.7 MB) 9. Train-03-Evaluation.mp4 (63.4 MB) 11. Capstone-Project Lung Tumor Segmentation 1. Introduction.mp4 (23.2 MB) 2. Overview.mp4 (6.8 MB) 3. Oversampling.mp4 (27.1 MB) 4. Discussion.mp4 (27.1 MB) 12. 3D Liver and Liver Tumor Segmentation 1. Introduction.mp4 (27.1 MB) 2. Data-Visualization.mp4 (31.6 MB) 3. Model.mp4 (26.3 MB) 4. Train-01-TorchIO-Dataset.mp4 (59.8 MB) 5. Train-02-Model-Creation.mp4 (35.8 MB) 6. Train-03-Evaluation.mp4 (43.1 MB) 2. Crash Course NumPy 1. Introduction to NumPy.mp4 (11.3 MB) 2. NumPy Arrays.mp4 (50.8 MB) 3. NumPy Arrays Part Two.mp4 (46.6 MB) 4. NumPy Index Selection.mp4 (46.3 MB) 5. NumPy Operations.mp4 (33.3 MB) 6. NumPy Exercises.mp4 (11.5 MB) 7. NumPy Exercise - Solutions.mp4 (48.6 MB) 3. Machine Learning Concepts Overview 1. What is Machine Learning.mp4 (20.0 MB) 2. Supervised Learning.mp4 (39.9 MB) 3. Overfitting.mp4 (26.2 MB) 4. Evaluating Performance - Classification Error Metrics.mp4 (82.5 MB) 5. Evaluating Performance - Regression Error Metrics.mp4 (23.6 MB) 4. PyTorch Basics 1. PyTorch Basics Introduction.mp4 (14.3 MB) 2. Tensor Basics.mp4 (35.2 MB) 3. Tensor Basics-Part Two.mp4 (66.8 MB) 4. Tensor Operations.mp4 (58.6 MB) 5. Tensor Operations-Part Two.mp4 (28.2 MB) 6. PyTorch Basics - Exercise.mp4 (15.2 MB) 7. PyTorch Basics - Exercise Solutions.mp4 (29.8 MB) 5. CNN - Convolutional Neural Networks 1. Introduction to CNNs.mp4 (4.6 MB) 10. MNIST Data Revisited.mp4 (9.2 MB) 11. MNIST with CNN - Code Along - Part One.mp4 (101.9 MB) 12. MNIST with CNN - Code Along - Part Two.mp4 (87.5 MB) 13. MNIST with CNN - Code Along - Part Three.mp4 (46.9 MB) 14. Why do we need GPUs.mp4 (93.0 MB) 15. Using GPUs for PyTorch.mp4 (96.5 MB) 2. Understanding the MNIST data set.mp4 (14.4 MB) 3. ANN with MNIST - Part One - Data.mp4 (97.9 MB) 4. ANN with MNIST - Part Two - Creating the Network.mp4 (52.5 MB) 5. ANN with MNIST - Part Three - Training.mp4 (78.2 MB) 6. ANN with MNIST - Part Four - Evaluation.mp4 (50.2 MB) 7. Image Filters and Kernels.mp4 (72.3 MB) 8. Convolutional Layers.mp4 (58.0 MB) 9. Pooling Layers.mp4 (27.6 MB) 6. Medical Imaging - A short Introduction 1. Introduction.mp4 (23.7 MB) 2. X-RAY.mp4 (15.6 MB) 3. CT.mp4 (27.1 MB) 4. MRI.mp4 (18.0 MB) 5. PET.mp4 (14.2 MB) 7. Data Formats in Medical Imaging 1. Introduction.mp4 (4.6 MB) 2. DICOM.mp4 (20.0 MB) 3. DICOM-in-Python.mp4 (89.0 MB) 4. NIfTI.mp4 (10.0 MB) 5. NIfTI-in-Python.mp4 (40.6 MB) 6. Preprocessing.mp4 (65.1 MB) 7. Preprocessing-in-Python-Part-1.mp4 (60.2 MB) 8. Preprocessing-in-Python-Part-2.mp4 (60.3 MB) 8. Pneumonia-Classification 1. Introduction.mp4 (55.4 MB) 2. Preprocessing.mp4 (86.0 MB) 3. Train-01-Data-Loading.mp4 (69.8 MB) 4. Train-02-Model-Creation.mp4 (82.8 MB) 5. Train-03-Trainer.mp4 (20.7 MB) 6. Train-04-Evaluation.mp4 (60.4 MB) 7. Interpretability.mp4 (122.1 MB) 9. Cardiac-Detection 1. 01-Introduction.mp4 (27.1 MB) 2. 02-Preprocessing.mp4 (66.9 MB) 3. 03-Dataset-Part-1.mp4 (57.4 MB) 4. 04-Dataset-Part-2.mp4 (32.3 MB) 5. Train-01-Data-Loading.mp4 (22.5 MB) 6. Train-02-Model-Creation.mp4 (95.7 MB) 7. Train-03-Evaluation.mp4 (42.6 MB) Bonus Resources.txt (0.3 KB) files
Added:	2021-11-04 10:01:03
Language:	English
Peers:	Seeders : 6 , Leechers : 6
Tags:	Development Data Science Deep Learning Udemy
Release name:	Udemy - Deep Learning with PyTorch for Medical Image Analysis
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