New Tutorial series about Deep Learning with PyTorch!
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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

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Part 15: Transfer Learning

You can download the dataset here:
https://download.pytorch.org/tutorial/hymenoptera_data.zip

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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

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