What you’ll learn
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Learn how to use NumPy
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Learn classic machine learning theory principals
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Foundations of Medical Imaging
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Data Formats in Medical Imaging
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Creating Artificial Neural Networks with PyTorch
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Use PyTorch-Lightning for state of the art training
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Visualize the decision of a CNN
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2D & 3D data handling
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Automatic Cancer Segmentation
Who this course is for:
- Python developers and Machine Learning engineers who want to learn how to tackle real world problems occurring on a daily basis in the field of medical imaging with the help of Deep Convolutional Neural Networks.
- Everybody who wants to learn more about the joint field of AI and Medical Imaging & how it works
- Developers familiar with basic Deep Learning knowledge who want to apply their skills to more than toy problems
- Medical professionals interested in how AI actually works in medicine
Can I download Deep Learning with PyTorch for Medical Image Analysis course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Deep Learning with PyTorch for Medical Image Analysis course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
