From the course: TensorFlow 2.0: Working with Images
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Review of neural networks
From the course: TensorFlow 2.0: Working with Images
Review of neural networks
- [Man] As I've mentioned TensorFlow neural networks and working with Tableau data is the first course in this series. Here I covered the Fashion-MNIST Dataset. Now, if you haven't seen that course, this video will provide a quick overview of the Fashion-MNIST Dataset. the Fashion-MNIST Dataset is made up of images from the fashion chains, Zalando. It contains a training set of 60,000 images and a test set of 10,000 images. Now each image is a 28 by 28 grayscale image, associated with the labels from the 10 classes. Each training and test example is assigned to one of the following labels. So for example label zero refers to a T-shirt and label one is a trouser and so on. Now this is what the neural network that we use to help us classify the 10 categories of the Fashion-MNIST Dataset looks like. We had 784 input nodes. And each of these nodes corresponds to a pixel of that image. We then have two hidden layers with…
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