OneDDL Posted August 22, 2021 Report Share Posted August 22, 2021 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 7 Lectures (1h 1m) | Size: 580.4 MBDescription This course introduces you to PyTorch and focuses on two main concepts: PyTorch tensors and the autograd module. We are going to get our hands dirty throughout the course, using a demo environment to explore the methodologies covered. We'll look at the pros and cons of each method, and when they should be used.Learning Objectives Create a tensor in PyTorch Understand when to use the autograd attribute Create a dataset in PyTorch Understand what backpropagation is and why it is importantIntended Audience This course is intended for anyone interested in machine learning, and especially for data scientists and data engineers.Prerequisites To follow along with this course, you should have PyTorch version 1.5 or later.Resources The Python scripts used in this course can be found in the GitHub repo here:https://github.com/cloudacademy/ca-pytorch-101 https://hot4share.com/dtuc3itxkmfb/d3r1p.Cloud.Academy..PyTorch.101.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/1929007E39a80Aab/d3r1p.Cloud.Academy..PyTorch.101.rar Download ( Rapidgator ) https://rapidgator.net/file/254793a8fd8549df769106853a727313/d3r1p.Cloud.Academy..PyTorch.101.rar.html Download ( NitroFlare ) http://nitro.download/view/0190BF1174E9014/d3r1p.Cloud.Academy..PyTorch.101.rarLinks are Interchangeable - No Password - Single Extraction Link to comment Share on other sites More sharing options...
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