Description
Deep learning with PyTorch Medical Imaging Competitions, a deep learning course with PyTorch for medical imaging competitions, is published by Udemy Academy. This course is not intended for beginners and is more practical. Although I tried my best to explain why I did a particular step, I made no attempt to explain the basic concepts like Convolution Neural Networks, how the optimizer works, how to create a ResNet, DenseNet model, etc. This course is for those who have worked on CIFAR, MNIST data and want to work on real scenarios. My focus was mainly on how to run a race, get data, and train and present a model on that data. PyTorch lightning is used in this course.
Some of the topics covered in this course:
Binary classification
- Get the data
- Read data
- Increase apply
- How to transfer data from folders to GPU
- Training a model
- Taking the criterion of accuracy and defects
Multi-class classification (CXR-covid19 competition)
Multi-label classification (ODIR competition)
What you will learn
- Learn how to use PyTorch Lightning
- Company and winner of medical imaging competitions
- Familiarity with applied deep learning in medical imaging
- Learn classification, regression and segmentation
- Send the submitted files in the contest
- Group learning to win competitions
Who is this course suitable for?
- For intermediate users who know Python and machine learning
- You’ve done the cat and dog classification problem but you’re not sure how to tackle a big data or problem.
- Want to step into medical imaging and build a portfolio?
- Want to win kaggle, codalab and grand challenges competitions
Deep learning with PyTorch course specifications Medical Imaging Competitions
- Publisher: Udemy
- teacher : Talha Anwar
- English language
- Education level: Intermediate
- Number of courses: 21
- Training duration: 3 hours and 3 minutes
Head of the seasons
# Introduction
# Section I Binary Classification
# Section 3 Multi class classification
# Mutilabel Classification
# Capstone Project
Deep learning with PyTorch course prerequisites Medical Imaging Competitions
-
Should have a good understanding of python
-
Have basic theoretical knowledge of deep learning (CNNs, optimizers, loss function etc.)
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Have done at least one project in machine learning or deep learning in any framework
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.58 GB
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