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Example of row vector matrix multiplication via dot products
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We do an example of row-vector-matrix multiplication via dot products:
00:00 -Introduction
00:24 -How to use examples in math classes: a model for deep learning
00:42 -When learning, push beyond the comfort zone into the sweet spot
00:54 -Three forms of practice: comfort zone, sweet spot, survival zone
01:13 -In math class, find ways to turn examples into sweet spot training
01:27 -Value of this example is to find your sweet spot
01:48 -Active recall is a great way to get into your sweet spot
03:57 -Stay in our sweet spot by repeatedly testing ourselves
04:23 -Calculate the first entry of the output vector
06:02 -Calculate the second entry of the output vector
07:57 -Calculate the third entry of the output vector
08:51 -Put all results together
09:11 -How can we generate this result using a different method?
09:21 -Check 1: Do the calculations fast in your mind
10:26 -In my class, I don’t use timed exams
10:37 -Check 2: Use Octave Online
12:47 -Challenge: Create for-loop implementation of dot product algorithm
13:05 -Conclusion
00:00 -Introduction
00:24 -How to use examples in math classes: a model for deep learning
00:42 -When learning, push beyond the comfort zone into the sweet spot
00:54 -Three forms of practice: comfort zone, sweet spot, survival zone
01:13 -In math class, find ways to turn examples into sweet spot training
01:27 -Value of this example is to find your sweet spot
01:48 -Active recall is a great way to get into your sweet spot
03:57 -Stay in our sweet spot by repeatedly testing ourselves
04:23 -Calculate the first entry of the output vector
06:02 -Calculate the second entry of the output vector
07:57 -Calculate the third entry of the output vector
08:51 -Put all results together
09:11 -How can we generate this result using a different method?
09:21 -Check 1: Do the calculations fast in your mind
10:26 -In my class, I don’t use timed exams
10:37 -Check 2: Use Octave Online
12:47 -Challenge: Create for-loop implementation of dot product algorithm
13:05 -Conclusion