Autoencoder In PyTorch - Theory & Implementation

In this Deep Learning Tutorial we learn how Autoencoders work and how we can implement them in PyTorch. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel: ▶️ : https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1 Resources: https://www.cs.toronto.edu/~lczhang/360/lec/w05/autoencoder.html Code: https://github.com/patrickloeber/pytorch-examples More PyTorch Tutorials: Complete Beginner Course: https://youtu.be/c36lUUr864M Dataloader: PXOzkkB5eH0 Transforms: https://youtu.be/X_QOZEko5uE Model Class: https://youtu.be/VVDHU_TWwUg CNN: https://youtu.be/pDdP0TFzsoQ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.python-engineer.com 🐦 Twitter - https://twitter.com/patloeber ✉️ Newsletter - https://www.python-engineer.com/newsletter 📸 Instagram - https://www.instagram.com/patloeber 🦾 Discord: https://discord.gg/FHMg9tKFSN ▶️ Subscribe: https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/patrickloeber #Python PyTorch Timeline: 00:00 - Theory 02:58 - Data Loading 05:30 - Simple Autoencoder 15:02 - Training Loop 17:00 - Plot Images 19:00 - CNN Autoencoder 29:12 - Exercise For You ---------------------------------------------------------------------------------------------------------- * This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏