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In this video we will do small image classification using CIFAR10 dataset in tensorflow. We will use convolutional neural network for this image classification problem. First we will train a model using simple artificial neural network and then check how the performance looks like and then we will train a CNN and see how the model accuracy improves. This tutorial will help you understand why CNN is preferred over ANN for image classification. Code: https://github.com/codebasics/deep-le... Exercise: Scroll to the very end of above notebook. You will find exercise description and solution link Do you want to learn technology from me? Check https://codebasics.io/?utm_source=des... for my affordable video courses. Deep learning playlist: • Deep Learning With Tensorflow 2.0, Ke... Machine learning playlist : https://www.youtube.com/playlist?list... #cnn #cnnimageclassification #imageclassificationpython #cnnmodel #deeplearning #tensorflowimageclassification #pythonimageclassification 🌎 My Website For Video Courses: https://codebasics.io/?utm_source=des... Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. #️⃣ Social Media #️⃣ 🔗 Discord: / discord 📸 Dhaval's Personal Instagram: / dhavalsays 📸 Codebasics Instagram: / codebasicshub 🔊 Facebook: / codebasicshub 📱 Twitter: / codebasicshub 📝 Linkedin (Personal): / dhavalsays 📝 Linkedin (Codebasics): / codebasics 🔗 Patreon: https://www.patreon.com/codebasics?fa... DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.