4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser

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United States Google for Developers
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Published on ● Video Link: https://www.youtube.com/watch?v=lfTHBA-qpXU


Duration: 15:38
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In this video learn about a new model architecture known as a Convolutional Neural Network (CNN) that overcomes some of the limitations that a simple Multi Layer Perceptron (MLP) has such as being fooled by position of the object in the image or its size and rotation. CNNs are widely used today across many popular architectures so this is a key evolution of your knowledge when working with image like data in the browser. You will learn about new concepts and terminology such as convolutions, filters (kernels), padding, stride, and max pooling to build a new solution to your MNIST classifier that is more robust than before.

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See what others have already made with Web ML → http://goo.gle/made-with-tfjs"



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