04 PyTorch tutorial - How do computational graphs and autograd in PyTorch work скачать в хорошем качестве

04 PyTorch tutorial - How do computational graphs and autograd in PyTorch work

In this tutorial, we have talked about how the autograd system in PyTorch works and about its benefits. We also did a rewind of how the forward and backward pass work, and also how to calculate gradients. If you found this video helpful, please drop a like and subscribe. If you have any questions, write them in the comment section below. 💻 Blog: http://datahacker.rs/004-computationa... 🎞 Youtube:    / @datahackerrs   🎞 Link for google collab script: https://colab.research.google.com/git... . . . Timestamps 00:00 Introduction 00:52 Computational graph forward pass 01:54 Python forward pass 02:25 Gradient calculation 02:49 Python backward pass 03:29 Turn off gradient calculation 04:58 Gradient accumulation 07:01 Chain rule 08:17 Derivative calculation visualized 10:15 .backward() function . . . . #machinelearning #artificialintelligence #ai #datascience #python #deeplearning #technology #programming #coding #bigdata #computerscience #data #dataanalytics #tech #datascientist #iot #pythonprogramming #programmer #ml #developer #software #robotics #java #innovation #coder #javascript #datavisualization #analytics #neuralnetworks #bhfyp