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PyTorch Tutorial 14 - Convolutional Neural Network (CNN)
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New Tutorial series about Deep Learning with PyTorch!
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
📚 Get my FREE NumPy Handbook:
📓 Notebooks available on Patreon:
Part 14: Convolutional Neural Network (CNN)
If you enjoyed this video, please subscribe to the channel!
Official website:
Part 01:
More about CNNs:
Code for this tutorial series:
You can find me here:
#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! 🙏
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
📚 Get my FREE NumPy Handbook:
📓 Notebooks available on Patreon:
Part 14: Convolutional Neural Network (CNN)
If you enjoyed this video, please subscribe to the channel!
Official website:
Part 01:
More about CNNs:
Code for this tutorial series:
You can find me here:
#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! 🙏
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