PyTorch Tutorials - Complete Beginner Course - Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku

Create and Deploy your first Deep Learning app! In this PyTorch tutorial we learn how to deploy our PyTorch model with Flask and Heroku. We create a simple Flask app with a REST API that returns the result as json data, and then we deploy it to Heroku. As an example PytTorch app we do digit classification, and at the end I show you how I draw my own digits and then predict it with our live running app. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ ✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * 📚 Get my FREE NumPy Handbook: https://www.python-engineer.com/numpybook 📓 Notebooks available on Patreon: https://www.patreon.com/patrickloeber ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN If you enjoyed this video, please subscribe to the channel! Code: https://github.com/patrickloeber/pytorch-examples Links: Flask installation: https://flask.palletsprojects.com/en/1.1.x/installation/#installation PyTorch course & code: https://www.youtube.com/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4 https://github.com/patrickloeber/pytorchTutorial PyTorch: https://pytorch.org/ Heroku: https://www.heroku.com/ You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/patloeber GitHub: https://github.com/patrickloeber #PyTorch ---------------------------------------------------------------------------------------------------------- * This is a sponsored 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! 🙏