Image Classifier in TensorFlow

We explore image classification using TensorFlow, covering the architecture of convolutional neural networks (CNNs), and their application in recognizing and processing image data. You'll learn how to build and train your own image classification models in TensorFlow, starting from data preprocessing, data normalization to model evaluation. We delve into a practical example utilizing the CIFAR10 dataset to illustrate how TensorFlow can be utilized for accurate image recognition and pattern recognition tasks.

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Timestamps:
00:00 Intro
00:34 Install dependencies
01:11 The CIFAR-10 dataset and how to use it
02:52 The CNN we will build explained
05:14 Implementing the Convolutional Neural Network in TensorFlow
06:39 Training or Image Classifier
08:12 Evaluating our Image Recognition Model on the whole CIFAR10 Dataset

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