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

•  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