From the course: TensorFlow 2.0: Working with Images
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Working with color images and neural networks
From the course: TensorFlow 2.0: Working with Images
Working with color images and neural networks
- [Instructor] The CIFAR-10 Dataset has the classes, airplane, automobile, bird, cat, deer, and so on. And the images in the CIFAR-10 are of size 32 by 32 by 3. The 32 by 32 corresponds to the height and the width of the images and pixels, and the three is the number of channels, so that's red, green, and blue. Let's head over to the Colab Notebook to see how well our neural network performs on the CIFAR-10 dataset. So, I'm going to head over to Runtime as before and run all of the cells. And what's going to happen, is we're going to load the datasets. We're going to train our neural network and so on. So, let's take a look at a couple of examples from the CIFAR-10 dataset. So, if we look at the first row, you can see that we've got examples from the dataset of a dog, automobile, another dog, a ship, and so on. And we've got 25 such examples of examples from the CIFAR-10 dataset. Now, let's take a look at a…
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