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Unsupervised learning can learn from features without label

Unsupervised learning can learn from features without label

Unsupervised learning can learn features by specifically designed loss without any pre-labels. There are two most common seen unsupervised learning methods, which are autoencoder and GANs. In this art

2022-05-18
Machine learning Deep learning
unsupervised learning
Weakly supervised learning has various diversities of labels

Weakly supervised learning has various diversities of labels

Weak supervision has three types, incomplete supervision, inexact supervision, and inaccurate supervision. Weakly supervised learning is generally defined as a learning framework under inadequate supe

2022-05-17
Machine learning Deep learning
weakly-supervised learning
One server can collaborate with global clients using federated learning

One server can collaborate with global clients using federated learning

Live data of humans and other natural mechanisms are constantly generated every day. With the development of human living standards and perceptron, new types of data will be updated. Thus, there is a

2022-05-15
Machine learning Deep learning
federated learning federated averaging
Semi-supervised learning and its goal

Semi-supervised learning and its goal

Semi-supervised learning is a learning paradigm concerned with how to learn the presence of both labelled and unlabelled data.

2022-05-14
Machine learning Deep learning
semi-supervised
Let's register images to demonstrate their features

Let's register images to demonstrate their features

Image registration can bring two or more images into spatial correspondence. Researchers try their utmost to make or adjust images as as to make them correspond exactly.

2022-05-12
Machine learning Deep learning
image registration
Single Shot Detection (SSD) - Lite Version

Single Shot Detection (SSD) - Lite Version

SSDLite is widely used to demonstrate a new backbone's detection capability. It was first introduced in MobileNetV2.

2022-05-12
Machine learning Deep learning
detection SSDLite
The evolution of Deep Labelling (DeepLab)

The evolution of Deep Labelling (DeepLab)

Deep labelling (DeepLab) is one of the most popular tricks to improve semantic segmentation performance. It may be the most accepted method to improve your proposed method performance.

2022-05-11
Machine learning Deep learning
deepLab semantic segmentation
hexo 博客創建和模板

hexo 博客創建和模板

Dave經過一年多博客的撰寫營運,積累了一些寫hexo博客的技巧,並且有自己的一套模板,這裡分享一下。

2022-04-24
HTML
blogs generation template
how to solve "pdf unsupported data"

how to solve "pdf unsupported data"

It is stupid that printer print an blank paper with "pdf unsupported data". Actually, we can avoid the problem by formatting the pdf files.

2022-04-24
Others
pdf printer format
Active learning can select the data it wants

Active learning can select the data it wants

Active learning is a subfield of artificial intelligence. It is curious to select the data which it learns during training.

2022-04-20
Machine learning Deep learning
meta learning active learning review
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