PyTorch CNN Tutorial | Deep Learning Series

New Tutorial series about Deep Learning with PyTorch!
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In this part we will implement our first convolutional neural network (CNN) that can do image classification based on the famous CIFAR-10 dataset.

We will learn:
- Architecture of CNNs
- Convolutional Filter
- Max Pooling
- Determine the correct layer size
- Implement the CNN architecture in PyTorch

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Part 14: Convolutional Neural Network (CNN)

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Official website:
https://pytorch.org/

Part 01:
https://youtu.be/EMXfZB8FVUA

More about CNNs:
deeplizard channel: https://youtu.be/YRhxdVk_sIs
Stanford Lecture: https://youtu.be/bNb2fEVKeEo
http://cs231n.github.io/convolutional-networks/
https://machinelearningmastery.com/convolutional-layers-for-deep-learning-neural-networks/

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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