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Machine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine learned models using TensorFlow.
In Episode 2 we’ll go beyond “Hello World” and start applying the fundamental patterns of building a neural network to more sophisticated scenarios, beginning with computer vision--how a computer can learn to “see.”
Exercise 1 answer → https://goo.gle/2SAJSay
Computer vision example → https://goo.gle/34cHkDk
Exercise 2 → https://goo.gle/2xEfFQo
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → https://goo.gle/TensorFlow
Machine Learning Foundations playlist → https://goo.gle/ml-foundations
Subscribe to Google Developers → https://goo.gle/developers
In Episode 2 we’ll go beyond “Hello World” and start applying the fundamental patterns of building a neural network to more sophisticated scenarios, beginning with computer vision--how a computer can learn to “see.”
Exercise 1 answer → https://goo.gle/2SAJSay
Computer vision example → https://goo.gle/34cHkDk
Exercise 2 → https://goo.gle/2xEfFQo
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → https://goo.gle/TensorFlow
Machine Learning Foundations playlist → https://goo.gle/ml-foundations
Subscribe to Google Developers → https://goo.gle/developers
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