Pritesh Tadvi
Pritesh Tadvi
tensorboard.dev has been shut down as of January 1, 2024. so removed related text and links. amd -> and Now we've got a pretrained model let's turn into a feature...
06: pytorch transfer learning https://www.learnpytorch.io/06_pytorch_transfer_learning/ preidctions -> predictions fine-tine -> fine-tune ^some -> some differnt -> different assosciated -> associated populuation -> population outisde -> outside Understanding this **performance vs....
05: pytorch going modular https://www.learnpytorch.io/05_pytorch_going_modular/ enable you -> enables you inputs -> input accuracy metric -> accuracy metrics
The Three Most Common Errors in PyTorch https://www.learnpytorch.io/pytorch_most_common_errors/ different to a standard -> different from a standard This where -> This is where all the through -> all through equilvalent...
PyTorch Cheatsheet https://www.learnpytorch.io/pytorch_cheatsheet/ how you want -> however you want documentaiton -> documentation learnin -> learning probelms -> problems foward -> forward
PyTorch Extra Resources https://www.learnpytorch.io/pytorch_extra_resources/ all new research in that -> all new research that a large of amount of text -> a large amount of text egnine -> engine
A Quick PyTorch 2.0 Tutorial https://www.learnpytorch.io/pytorch_2_intro/ can you get -> you can get I think about is -> I think about it is compartive -> comparative capbility -> capability minizes...
00: pytorch fundamentals https://www.learnpytorch.io/00_pytorch_fundamentals/ worlds -> world's Tesla use -> Tesla uses to mixed -> to mix brakcets -> brackets we've being doing -> we've been doing which is which...
01: pytorch workflow fundamentals https://www.learnpytorch.io/01_pytorch_workflow/ discoverd -> discovered to learn on -> to learn from uses cases -> use cases This make sense though -> This makes sense though, your...
02: pytorch classification https://www.learnpytorch.io/02_pytorch_classification/ a photo of is of food -> a photo is of food philosohpy -> philosophy coverd -> covered trained an evaluated -> trained and evaluated to...