CNN Image Classification with Tensorflow | CIFAR-10 Tutorial | PyTorch vs TensorFlow |Part 3

📌Complete Playlist: https://youtube.com/playlist?list=PLJmsxsLD5R9h8PoLDPCL-q4lXBMqRcU1c&si=6apLiMRe8kdQslM-
📌CNN Architecture - https://www.youtube.com/watch?v=3zT_QtIupkE
📌 Set up virtual environment in Jupyter - https://www.youtube.com/watch?v=5GLZiNeK3oc

Github - https://github.com/SumitJainUTD/cnn-tensorflow-jupyter

📌 Part 1 (Full Project Roadmap): https://www.youtube.com/watch?v=l0MQ7H37kNQ
📌 Part 2 (Pytorch version): https://youtu.be/CyYHJnSOANY
📌 Part 4 (Django App comparison): Coming Soon

Welcome to Part 3 of the PyTorch vs TensorFlow series!
In this video, we build and train the same CNN architecture from scratch — but this time using TensorFlow + Keras on the CIFAR-10 dataset.

You will learn:
✔ How to load and preprocess CIFAR-10 in TensorFlow
✔ How to build a CNN using Keras layers
✔ How model compilation works in TensorFlow
✔ Training and validation on CIFAR-10
✔ How to evaluate test accuracy
✔ How to save and reload a TensorFlow .keras model
✔ This model will be used later in the Django web app (Part 4)

This tutorial gives you a clear understanding of the coding style, workflow, and training differences between PyTorch and TensorFlow.

#TensorFlow #PyTorch #DeepLearning #CNN #AI #MachineLearning #CIFAR10 #Keras #Python #NeuralNetworks #DataScience #TensorFlowTutorial

Видео CNN Image Classification with Tensorflow | CIFAR-10 Tutorial | PyTorch vs TensorFlow |Part 3 канала Tutorial Horizon