[PyTorch] 1. Transform, ImageFolder, DataLoader

Transform, ImageFolder and DataLoader class

[PyTorch] 6. model.train() vs model.eval(), no_grad(), Hyperparameter tuning

(1) model.train() vs model.eval (2) no_grad (3) Hyperparameter tuning

[Bayesian DL] 3. Introduction to Bayesian Deep Learning

1. What is Bayesian Neural Network?

[PyTorch] 4. Custom Dataset Class, Convert image to tensor and vice versa

1. Custom Dataset Class

[PyTorch] 2. Model(x) vs Forward(x), Load pre-trained Model, Finetuning, Length of the DataLoader, How to Send model…

[PyTorch] 3. Tensor vs Variable, zero_grad(), Retrieving value from Tensor

Tensor vs Variable…

[Bayesian DL] 1. Properties of Gaussian Distribution and Prior(Posterior) Predictive Distribution

[Data Science] 1. Expectation, Variance, Law of large numbers

This article assumes the readers have basic…

[Bayesian DL] 2. Gaussian Process

1. Definition of the Gaussian Process