03_pytorch_computer_vision.ipynb

[pritesh2000]

03: pytorch computer vision https://www.learnpytorch.io/03_pytorch_computer_vision/

can described -> can be described evaluting -> evaluating predictons -> predictions Where can can -> Where can

known a -> known as can be model -> can be modeled going to one -> going to be one accumatively -> accumulatively you don't a GPU -> you don't have a GPU That way for each epoch we're going a training and a testing step. -> That way, for each epoch, we're going through a training step and a testing step. I used a a GPU -> I used a GPU

dependant -> dependent Two of the main to fix -> Two of the main ways to fix dependant -> dependent our inputs data -> our input data will effects -> will affect similiar -> similar dependant -> dependent incorporating technology -> incorporating technological predicitons -> predictions visual a confusion matrix -> visualize a confusion matrix confision -> confusion visualing -> visualizing prediciton -> prediction visualing -> visualizing thorugh -> through