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.

TensorFlow
324.6K views • Sep 11, 2019

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
Subscribe to the TensorFlow channel → http://bit.ly/2ZtOqA3
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
Subscribe to the TensorFlow channel → http://bit.ly/2ZtOqA3
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Views
324.6K
Likes
6.5K
Duration
5:33
Published
Sep 11, 2019
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4.8
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