Understanding Convolutional Neural Networks in Machine Learning Zero to Hero - Part 3

In part three of Machine Learning Zero to Hero, AI Advocate Laurence Moroney explains convolutional neural networks and their significance in machine learning.

Understanding Convolutional Neural Networks in Machine Learning Zero to Hero - Part 3
TensorFlow
324.6K views • Sep 11, 2019
Understanding Convolutional Neural Networks in Machine Learning Zero to Hero - Part 3

About this video

In part three of Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) discusses convolutional neural networks and why they are so powerful in Computer vision scenarios. A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this video you'll see how they work, by processing an image to see if you can extract features from it!

Codelab: Introduction to Convolutions → https://developers.google.com/codelabs/tensorflow-3-convolutions#0

This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.

Watch more Coding TensorFlow → http://bit.ly/2lytA4j
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324.6K

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Published

Sep 11, 2019

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