Pytorch Tutorial 1 ML 2022 Spring - 國立臺灣大學
Machine Learning
Pytorch Tutorial
TA : Yuan Tseng 2022.02.18
Outline
Background: Prerequisites & What is Pytorch?
Training & Testing Neural Networks in Pytorch
Dataset & Dataloader
Tensors
torch.nn:
Models, Loss Functions
torch.optim: Optimization
Save/load models
Prerequisites
We assume you are already familiar with... 1. Python3 if-else, loop, function, file IO, class, ... refs: link1, link2, link3 2. Deep Learning Basics Prof. Lee's 1st & 2nd lecture videos from last year ref: link1, link2
Some knowledge of NumPy will also be useful!
What is PyTorch?
An machine learning framework in Python. Two main features:
N-dimensional Tensor computation (like NumPy) on GPUs Automatic differentiation for training deep neural networks
Training Neural Networks
Define Neural Network
Loss Function
Optimization Algorithm
Training
More info about the training process in last year's lecture video.
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