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  3. Computational Imaging (LTAT.02.025)
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Computational Imaging 2022/23 spring

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HW3. Backpropagation and Machine Learning (14th April, 23.59)

EX1 (5p) : Compute backpropagation numerically for the compunatational graph shown below. Show each steps of gradient updates (update_gradient = local_gradient * old_gradient).

EX2 (5p) : Your task is Image Classification Task from the classifier code given below and plot model loss and model accuracy. Complete the cells. You need to upload your plots and code.

https://colab.research.google.com/drive/1T1SBiL5iSjH4homzpIpGIQwYYgeAeine#scrollTo=57CcilYSG0zv

EX3 Bonus (5p) : This task is to build a CNN from the scratch. The CNN has different modules. In this task you need to build a Zero-padding only. https://colab.research.google.com/drive/1bHRhl9Pip0h8Xjrt_hxmOI4wAbqSSHjP#scrollTo=y4viGvO40VIA

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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