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updating week 41

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mhjensen
2020-10-08 21:09:16 +02:00
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doc/src/week41/week41.do.txt
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@@ -4,27 +4,21 @@ DATE: today
!split
===== Plan for week 40 =====
===== Plan for week 41 =====
* Thursday: Building our own Feed-forward Neural Network
* Thursday: Building our own Feed-forward Neural Network. "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober8.mp4?vrtx=view-as-webpage"
* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).
Reading suggestions for both days: "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\
extbooks/TensorflowML.pdf" and Hastie et al chapter 11.
!split
===== Overview video for week 41 =====
"Overview Video, from Stochastic Gradient methods to Neural Networks":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h20\
/forelesningsvideoer/OverviewWeek41.mp4?vrtx=view-as-webpage"
!split
===== Setting up the Back propagation algorithm =====
The four equations provide us with a way of computing the gradient of the cost function. Let us write this out in the form of an algorithm.
The four equations derived last week provide us with a way of computing the gradient of the cost function. Let us write this out in the form of an algorithm.
!bblock
First, we set up the input data $\hat{x}$ and the activations