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Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)

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-learning-keras-tf-tutorial/blob/master/16_cnn_cifar10_small_image_classification/cnn_cifar10_dataset.ipynb
Exercise: Scroll to the very end of above notebook. You will find exercise description and solution link

Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw  

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DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

Видео Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python) канала codebasics
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24 октября 2020 г. 18:30:10
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