Machine Learning Foundations: Ep #3 - Convolutions and pooling
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Опубликовано 13 мая 2020, 16:01
Machine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine learned models using TensorFlow.
In Episode 3 we’ll expand on our computer vision example from last time and introduce the concept of convolutions--what they are, and how they can be used in combination with pooling to help a computer understand the contents of an image.
Exercise 2 answer → goo.gle/3fsgPiY
Colab: What are convolutions? → goo.gle/2L89MhI
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → goo.gle/TensorFlow
Machine Learning Foundations playlist → goo.gle/ml-foundations
Subscribe to Google Developers → goo.gle/developers
In Episode 3 we’ll expand on our computer vision example from last time and introduce the concept of convolutions--what they are, and how they can be used in combination with pooling to help a computer understand the contents of an image.
Exercise 2 answer → goo.gle/3fsgPiY
Colab: What are convolutions? → goo.gle/2L89MhI
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → goo.gle/TensorFlow
Machine Learning Foundations playlist → goo.gle/ml-foundations
Subscribe to Google Developers → goo.gle/developers
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