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New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to help me code faster: https://www.tabnine.com/?utm_source=youtube.com&utm_campaign=PythonEngineer * In this part we will learn about transfer learning and how this can be implemented in PyTorch. We will learn: - What is Transfer Learning - Use the pretrained ResNet-18 model - Apply transfer learning to classify ants and bees - Exchange the last fully connected layer - Try 2 methods: Finetune the whole network or train only the last layer - Evaluate the results 📚 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 Part 15: Transfer Learning You can download the dataset here: https://download.pytorch.org/tutorial/hymenoptera_data.zip If you enjoyed this video, please subscribe to the channel! Official website: https://pytorch.org/ Part 01: https://youtu.be/EMXfZB8FVUA More about Transfer Learning: https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html Code for this tutorial series: https://github.com/patrickloeber/pytorchTutorial You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/patloeber GitHub: https://github.com/patrickloeber #Python #DeepLearning #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! 🙏
