Introduction to Deep Learning - 4. Optimization (Summer 2020)

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Introduction to Deep Learning (I2DL) - Lecture 4
TUM Summer Semester 2020
  1. Matthias Niessner
  2. deeplearning
  3. machinelearning
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0:00:19 Recap
0:07:46 Backpropagation
0:15:10 Compute Graphs -> Neural Networks
0:28:26 Gradient Descent
0:34:45 The Flow of the Gradients
0:37:50 Gradient Descent for NN
0:45:51 Derivatives of Cross Entropy
0:57:30 Regularization
0:59:30 Over- and Underfitting
1:05:45 Regularization: Example & Effect

1:12:20 Regularization for NN

idllecture
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Nice lecture, maybe consider putting your facecam at the top, because the bottom right corner tends to cover up formulas.

mcmiloy
Автор

Very very nice lecture! Just want to quickly mention a syntax error at 1:13:57. There is missing a dot in the second lambda value

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