On the Format tab in the Arrange group, click Group so that all of the shapes will be treated like a single object.ĭraw in the document. Select several shapes at a time by pressing CTRL on your keyboard and clicking each shape you want to include in the group. Click the shape you where you want text, and then type. On the Format tab, in the Insert Shapes group, click Edit Shape, point to Change Shape, and then choose a different shape.Īdd text to a shape. On the Format tab, in the Insert Shapes group, click a shape, and then click somewhere in the document.Ĭhange a shape. You can do any of the following on the Format tab, which appears after you insert a drawing shape: On the Insert tab, in the Illustrations group, click Shapes. Generate, load & visualize the training dataįor developing the convolutional neural network we'll use the following dependencies as listed in requirements.Click in your document where you want to create the drawing.
The complete code and the trained model are available at GitHub. Furthermore, we'll build a simple web app that allows the user to draw images and predict them using the network model later on. And that's exactly what this article is about: we'll build a convolutional neural network to recognize hand drawn images using the Quick, Draw! dataset. So you can use this dataset to train your own neural network. Luckily, Google released the dataset they trained their neural network with, which includes more than 50 million by the players hand drawn images. In November 2016 Google released an online game called " Quick, Draw!" that asks the player to draw an image of a prescribed object and then uses a neural network to guess what the drawing represents.Īll in all there are 345 different objects the neural network can recognize. This post was originally published on my blog.
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