728x90
One of the widely used dataset for image classification is the MNIST dataset.
- Reading the Dataset
- Reading Minibatch
1. Reading the Dataset
download and read the Fashion-MNIST dataset into memeory.
Fashion-MNIST consists of images from 10 categories, each represented by 6000 images in the training dataset and by 1000 in the test dataset.
The height and width of each input image are both 28 pixels. Note that the dataset consists of grayscale images, whose number of channels is 1.
Resize & Read data into memory.
Data iterators are a key component for efficient performance. Rely on well-implemented data iterators that exploit high-performance computing to avoid slowing down your training loop.
728x90
반응형
'ComputerScience > Machine Learning' 카테고리의 다른 글
| Deep Learning - 2.7 Concise Implementation of Softmax Regression (0) | 2022.09.01 |
|---|---|
| Deep Learning - 2.6 Implementation of Softmax Regression from Scratch (0) | 2022.08.23 |
| Deep Learning - 2.4 Softmax Regression (0) | 2022.08.18 |
| Deep Learning - 2.3 Concise Implementation of Linear Regression (0) | 2022.08.16 |
| Deep Learning - 2.2 Linear Regression Implementation from Scratch (0) | 2022.08.13 |
