Deep Learning Fundamentals for Healthcare
- Category Other
- Type Tutorials
- Language English
- Total size 289.9 MB
- Uploaded By freecoursewb
- Downloads 113
- Last checked 2 weeks ago
- Date uploaded 8 months ago
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Infohash : 3222D4967590F5F12285F0F70F51241957F4379C
Deep Learning Fundamentals for Healthcare
https://WebToolTip.com
Released 04/2025
With Wuraola Oyewusi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 26m 7s | Size: 290 MB
Learn about deep learning in healthcare with this comprehensive course, including fundamentals, practical applications, advanced techniques, and more.
Course details
Explore the exciting world of deep learning applications in healthcare through this in-depth course. Learn how to classify and detect abnormalities in X-ray images through convolutional neural networks (CNNs), fine-tuning pre-trained models, and leveraging zero-shot learning. Understand the basics of deep learning, including neural networks, model training, and hyperparameter tuning tailored specifically to healthcare. Engage in hands-on activities where you'll preprocess data, build models with Python, and utilize frameworks like TensorFlow and PyTorch. Develop practical skills in object detection and segmentation to diagnose and detect medical conditions effectively. Gain insights into ethical considerations and data limitations pertinent to applying AI in a medical context. By the end of this course, you will be equipped to apply deep learning techniques to real-world healthcare challenges, improving diagnostic accuracy and patient outcomes.
Files:
[ FreeCourseWeb.com ] Deep Learning Fundamentals for Healthcare- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 - Introduction
- 01 - Getting started with deep learning for healthcare.mp4 (3.0 MB)
- 01 - Getting started with deep learning for healthcare.srt (1.3 KB)
- 02 - What you should know.mp4 (2.0 MB)
- 02 - What you should know.srt (1.6 KB)
- 01 - What is deep learning.mp4 (7.7 MB)
- 01 - What is deep learning.srt (5.2 KB)
- 02 - Why deep learning excels in healthcare.mp4 (6.3 MB)
- 02 - Why deep learning excels in healthcare.srt (3.7 KB)
- 03 - How deep learning works Anatomy of neural networks.mp4 (7.8 MB)
- 03 - How deep learning works Anatomy of neural networks.srt (6.4 KB)
- 04 - Deep learning architectures.mp4 (9.6 MB)
- 04 - Deep learning architectures.srt (8.5 KB)
- 05 - Deep learning algorithms.mp4 (14.2 MB)
- 05 - Deep learning algorithms.srt (15.6 KB)
- 06 - Key concepts in training deep learning models.mp4 (5.8 MB)
- 06 - Key concepts in training deep learning models.srt (6.1 KB)
- 07 - Deep learning frameworks and libraries.mp4 (5.9 MB)
- 07 - Deep learning frameworks and libraries.srt (6.3 KB)
- 08 - Building and implementing neural networks TensorFlow.mp4 (17.0 MB)
- 08 - Building and implementing neural networks TensorFlow.srt (11.3 KB)
- 09 - Building and implementing neural networks PyTorch.mp4 (14.7 MB)
- 09 - Building and implementing neural networks PyTorch.srt (8.8 KB)
- 10 - Limitations and ethical considerations.mp4 (8.6 MB)
- 10 - Limitations and ethical considerations.srt (9.4 KB)
- 01 - Introduction to computer vision in healthcare.mp4 (7.9 MB)
- 01 - Introduction to computer vision in healthcare.srt (7.6 KB)
- 02 - Understanding image data in healthcare.mp4 (8.9 MB)
- 02 - Understanding image data in healthcare.srt (7.3 KB)
- 03 - Anatomy of medical images Exploring digital properties and structure.mp4 (18.7 MB)
- 03 - Anatomy of medical images Exploring digital properties and structure.srt (11.9 KB)
- 04 - Preparing X-ray image datasets for computer vision tasks.mp4 (34.4 MB)
- 04 - Preparing X-ray image datasets for computer vision tasks.srt (16.4 KB)
- 05 - Task overview Classifying normal vs. pneumonia X-rays.mp4 (9.2 MB)
- 05 - Task overview Classifying normal vs. pneumonia X-rays.srt (7.6 KB)
- 06 - Classifying normal vs. pneumonia X-rays using convolutional neural networks (CNNs).mp4 (35.7 MB)
- 06 - Classifying normal vs. pneumonia X-rays using convolutional neural networks (CNNs).srt (18.4 KB)
- 07 - Classifying normal vs. pneumonia X-rays using a pretrained architecture.mp4 (23.5 MB)
- 07 - Classifying normal vs. pneumonia X-rays using a pretrained architecture.srt (13.1 KB)
- 08 - Classifying normal vs. pneumonia X-rays using zero-shot learning.mp4 (19.2 MB)
- 08 - Classifying normal vs. pneumonia X-rays using zero-shot learning.srt (9.5 KB)
- 09 - Task overview Object detection in medical imaging.mp4 (3.6 MB)
- 09 - Task overview Object detection in medical imaging.srt (3.5 KB)
- 10 - Zero-shot object detection in X-rays using CLIP-based models.mp4 (23.0 MB)
- 10 - Zero-shot object detection in X-rays using CLIP-based models.srt (10.8 KB)
- 01 - Next steps.mp4 (3.2 MB)
- 01 - Next steps.srt (1.5 KB)
- Bonus Resources.txt (0.1 KB)
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