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Li Hongyi, machine learning 7. Conclusion (summary)
2022-07-23 18:08:00 【InfoQ】
Author:AXYZdong
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Li Hongyi 《 machine learning 》| 1. Introduction of this course( Introduction to machine learning )
Li Hongyi 《 machine learning 》 丨 2. Regression( Return to )
Li Hongyi 《 machine learning 》 丨 3. Gradient Descent( gradient descent )
Li Hongyi 《 machine learning 》 丨 4. Deep Learning( Deep learning )
Li Hongyi 《 machine learning 》 丨 5. Tips for neural network design( Neural network design skills )
Li Hongyi 《 machine learning 》 丨 6. Convolutional Neural Network( Convolutional neural networks )
summary
Datawhale Team learning , Li Hongyi 《 machine learning 》Task7. Conclusion( summary ). six Task, Including introduction to machine learning 、 Return to 、 gradient descent 、 Deep learning 、 Neural network design skills and convolution neural network . Most of it is purely theoretical , It rarely involves actual combat .
I have seen teacher Wu Enda's machine learning video before , Then I sorted out the mind map of his course :
Wuenda's machine learning mind map insists on punching in the clock 23 God
. This time I watch the video of teacher lihongyi , Sort of a review , Have a new understanding of machine learning , It gives me the feeling that my views or perceptions of the same thing are different in different periods of time .
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