CNN Image Classification with PyTorch | CIFAR-10 Tutorial | PyTorch vs TensorFlow | Part 2

📌Complete Playlist:    • Build & Deploy CNNs | PyTorch vs TensorFlo...   📌CNN Architecture -    • CNN Explained Visually | Why CNNs Beat ANN...   📌 Set up virtual environment in Jupyter -    • Activate venv in Jupyter Notebook | Fix Ke...   📌 GitHub Code: https://github.com/SumitJainUTD/cnn-p... 📌 Part 1 (Full Project Roadmap):    • Full AI Project Demo + Roadmap (CIFAR-10 +...   📌 Part 3 (TensorFlow version):    • CNN Image Classification with Tensorflow |...   📌 Part 4 (Django App comparison): Coming Soon Welcome to Part 2 of the PyTorch vs TensorFlow series! In this video, we build and train a Convolutional Neural Network (CNN) using PyTorch on the CIFAR-10 dataset and save the trained model for later use in our Django web app. You will learn: ✔ How to load and preprocess CIFAR-10 ✔ How to build a CNN architecture in PyTorch ✔ Training loop (forward pass, backward pass, optimizer) ✔ How to evaluate the model using test accuracy ✔ How to save and reload the trained PyTorch model ✔ This model will later be used in our Django comparison app (Video 4) This is a full hands-on coding session inside Jupyter Notebook — explained step by step, perfect for beginners and intermediate developers. If you're learning AI, deep learning, CNNs, or PyTorch, this tutorial will give you solid practical experience. 👍 Like the video if it helps! 🔔 Subscribe for the next parts in the series! #PyTorch #TensorFlow #CNN #DeepLearning #AI #MachineLearning #CIFAR10 #Python #NeuralNetworks #CodeTutorial #DataScience #PyTorchTutorial #AIProjects