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team
5, 10 or 20 seats+ for your team - learn more
The project goes straight to the point and provides focused hints that really help.
Look inside
In this liveProject, you’ll utilize PyTorch and powerful semi-supervised learning techniques to construct an advanced image classifier that can tell whether a 32x32 pixel photo of a mole is melanoma-positive—despite working with a very small labelled dataset. You’ll set up your image preprocessing pipeline, feed data into your PyTorch model, and then train a semi-supervised GAN model on both labeled and unlabeled datasets.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book resources
When you start your liveProject, you get full access to the following books for 90 days.
prerequisites
This liveProject is for intermediate Python programmers with some deep learning experience. No prior experience in generative modeling, including GANs, is assumed. To begin this liveProject, you will need to be familiar with:TOOLS
- Intermediate Python
- Basics of PIL
- Basics of Matplotlib
- Basics of NumPy
- Beginner PyTorch
- Training and evaluating (supervised) deep learning models
- Basics of neural networks
- Intermediate deep learning concepts such as convolutional neural networks
- Basics of linear algebra and statistics
you will learn
In this liveProject, you will learn important deep learning tools and techniques that are highly transferable to a wide range of machine learning roles, especially in the field of computer vision.- Data augmentation built into the image preprocessing pipeline
- PyTorch and deep learning on the GPU
- Generative modeling with unsupervised generative adversarial networks
- Semi-supervised learning with GANs for image classification
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
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- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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$249.99
only $20.83 per month
- share your subscription with one other person
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Semi-Supervised GANs for Melanoma Detection project for free
Semi-Supervised GANs for Melanoma Detection project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
![]()
Semi-Supervised GANs for Melanoma Detection project for free
