Deep Learning Mini Course 3: Training a Neural Network

Lazy Programmer Inc

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11 Videos (1h 23m)
    • ANNCostIntro

      6:15
    • L22

      4:30
    • Lecture6 Redo

      11:53
    • Lecture7 Redo

      4:47
    • Lecture8 Redo

      4:37
    • Backprop

      17:07
    • WhyLearnBackprop

      8:53
    • BadBackprop

      3:52
    • HelpWithSoftmax

      4:09
    • BackpropTroubleshoot

      11:55
    • ANNTrainingQuiz

      5:30

About This Class

In the previous course, you learned about how a neural network makes predictions.

We call the difference between the predictions and the true targets the "error".

In this course you'll learn about how to minimize the error through an algorithm called backpropagation.

Backpropagation is what makes all modern deep learning architectures work.

It's required learning for anyone who wants to consider themselves a serious machine learning and artificial intelligence student.

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