PyTorch Tutorials - Complete Beginner Course - PyTorch Tutorial 14 - Convolutional Neural Network (CNN)

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 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: https://www.python-engineer.com/numpybook 📓 Notebooks available on Patreon: https://www.patreon.com/patrickloeber ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN Part 14: Convolutional Neural Network (CNN) If you enjoyed this video, please subscribe to the channel! 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 ---------------------------------------------------------------------------------------------------------- * 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! 🙏