Neural Network (Supervised Learning) – Python Crash Course 2020 [FULL COURSE]




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TABLE OF CONTENT
Introduction 00:00:00
Artificial Intelligence 00:00:33
Machine Learning 00:01:31
Neural Network 00:02:50
Logistic Regression 00:04:07
Neural Network 00:11:23
Developing Neural Network 00:22:34
Data Collection 00:27:54
Data Exploration 00:29:03
Data Pre-processing 00:32:07
Features and Labels 00:34:49
Train, Development, Test Sets 00:36:20
Normalization 00:39:35
Bias and Variance 00:42:14
Network Architecture 00:44:29
Hyperparameters 01:02:21
Network Training 01:05:34
Model Evaluation 01:11:53
Final Model 01:14:10
Programming Exercise 01:18:46

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Comment List

  • eMaster Class Academy
    November 15, 2020

    im having trouble with the filepath vars.
    {epoch:02d}-{loss:.0f}-{val_loss:.0f}-{mae:.0f}-{val_mae:.0f}.hdf5

    my hdf5 file always reports as 0 apart from the epoch. e.g. 100-0-0-0-0.hdf5
    you know if there is any documentation which maps the vars. Ive tried searching keras and tensorflow websites and the web and youtube but the specification is proving hard to find.

  • eMaster Class Academy
    November 15, 2020

    In the regularization part, you calculated the mean of the training set and used the same mean for testing set. You forgot to calculate the mean of testing set, hence, your regularization/normalization of the test set is incorrect.
    Apart from it, I really liked the content and explanation. Good work !

  • eMaster Class Academy
    November 15, 2020

    Thanks so much for all you do, another 1st rate video with excellent explanation of the details. Fantastic !!

  • eMaster Class Academy
    November 15, 2020

    A very nice video for neural network!

  • eMaster Class Academy
    November 15, 2020

    Great video! Thanks!

  • eMaster Class Academy
    November 15, 2020

    Excellent detailed video! Thanks!

  • eMaster Class Academy
    November 15, 2020

    Excellent video, thanks!

  • eMaster Class Academy
    November 15, 2020

    very nice ,good video🙏

  • eMaster Class Academy
    November 15, 2020

    Great video! Thanks

  • eMaster Class Academy
    November 15, 2020

    very interesting

  • eMaster Class Academy
    November 15, 2020

    nice

  • eMaster Class Academy
    November 15, 2020

    Thank you, just love it!

  • eMaster Class Academy
    November 15, 2020

    Nice work!

  • eMaster Class Academy
    November 15, 2020

    Thanks for the great video!

  • eMaster Class Academy
    November 15, 2020

    Great detailed explanation in the flow!

  • eMaster Class Academy
    November 15, 2020

    Thanks for having such great detail!

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