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  • B3B33VIR
  • Lectures
  • Resources
    • Brute specification
    • Old tests
    • Fast and easy simulation with Pybullet
    • How to edit code on a remote server
    • Semestral work topics
  • Labs
    • HW2: Catch me if you Kajinek
    • Intro to Numpy and Pytorch
    • Lab 4 - Convolution
    • HW3: Image classification
    • HW4: Image segmentation

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Table of Contents

  • Resources
    • HW
    • SW
    • External educational materials

Resources

  • Brute specification

HW

  • Your own computer (best for debugging)
  • Servers with GPUs
  • Google Colab
    • Allows using GPU runtimes for 12 hours a day (also TPUs with Tensorflow)
    • Allows to link Google Drive with faculty account

SW

  • PyTorch (install via pip / conda, load as a module on the servers)
  • PyCharm (educational licence at download.cvut.cz or Official webpage)
  • Setting a remote editor with PyCharm
  • Google Colab
  • Fast and easy simulation with Pybullet

External educational materials

  • Neural networks Stanford youtube lectures
courses/b3b33vir/resources/start.txt · Last modified: 2022/09/12 15:00 by cechjos3
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