====== Resources ====== * [[courses:b3b33urob:resources:brute_spec:start|Brute specification]] ===== HW ===== * Your own computer (best for debugging) * [[https://cyber.felk.cvut.cz/cs/study/gpu-servers/|Servers with GPUs]] * [[https://colab.research.google.com/|Google Colab]] * Allows using GPU runtimes for 12 hours a day (also TPUs with Tensorflow) * Allows to link Google Drive with faculty account ===== SW ===== * [[https://pytorch.org/|PyTorch]] (install via pip / conda, load as a module on the servers) * PyCharm (educational licence at [[https://download.cvut.cz/info/info.php?&did=750|download.cvut.cz]] or [[https://www.jetbrains.com/education/download/#section=pycharm-edu|Official webpage]]) * [[courses:b3b33urob:resources:remote-editing:start|Setting a remote editor with PyCharm]] * [[https://colab.research.google.com/|Google Colab]] * [[courses:b3b33urob:resources:pybullet_simulation:start|Fast and easy simulation with Pybullet]] ===== External educational materials ===== * Neural networks Stanford [[https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv|YouTube lectures]] * Neural Networks - 3Blue1Brown [[https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi|YouTube playlist]] * Deep Learning - Josh Starmer [[https://www.youtube.com/playlist?list=PLblh5JKOoLUIxGDQs4LFFD--41Vzf-ME1|YouTube playlist]] * Neural Networks Visualized - vcubingx [[https://www.youtube.com/playlist?list=PLyPKqVSnetmEOp_g_hfabuRAs9ET-shl_|YouTube playlist]] * Understanding KL Divergence - Adian Liusie [[https://www.youtube.com/watch?v=SxGYPqCgJWM&t=244s|YouTube video]] * Understanding Cross-Entropy - Adian Liusie [[https://www.youtube.com/watch?v=Pwgpl9mKars&t=13s|YouTube video]] * A Short Introduction to Entropy, Cross-Entropy and KL-Divergence - Aurélien Géron [[https://www.youtube.com/watch?v=ErfnhcEV1O8&t=2s|YouTube video]] * Building an autograd library - Andrej Karpathy [[https://www.youtube.com/watch?v=VMj-3S1tku0&t=25s&ab_channel=AndrejKarpathy|YouTube video]]