PyTorch Tutorial 14 – Convolutional Neural Network (CNN)

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:

More about CNNs:
deeplizard channel: https://youtu.be/YRhxdVk_sIs
Stanford Lecture: https://youtu.be/bNb2fEVKeEo
http://cs231n.github.io/convolutional-networks/

How Do Convolutional Layers Work in Deep Learning Neural Networks?

Code for this tutorial series:
https://github.com/python-engineer/pytorchTutorial

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GitHub: https://github.com/python-engineer

#Python #DeepLearning #Pytorch

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