Rice Yang – Medium

Rice Yang

自動駕駛的演算法工程師是爽缺嗎？

從自動駕駛架構到工程師的機會與困境

Jan 6

自動駕駛的演算法工程師是爽缺嗎？

Jan 6

AI 原來是小當家？從做菜了解 AI 基礎原理

看不懂算 ChatGPT 輸！AI 親自出面澄清跟 GPU 是什麼關係

Nov 4, 2024

AI 原來是小當家？從做菜了解 AI 基礎原理

Nov 4, 2024

如何用 AI 準備 NVIDIA 的英文口語面試

不麻煩任何人，使用免費 ChatGPT 準備英文面試的方法

Dec 21, 2023

如何用 AI 準備 NVIDIA 的英文口語面試

Dec 21, 2023

為什麼自動駕駛需要高精度地圖？

高精度地圖是什麼？跟 GoogleMap 不一樣嗎？

Dec 2, 2023

為什麼自動駕駛需要高精度地圖？

Dec 2, 2023

The Great Transformers

Understand the design and application of the Transformer-styled models

Nov 3, 2023

The Great Transformers

Nov 3, 2023

RNN, LSTM, GRU之間的原理與差異

關於 Recurrent Neural Networks 的小小筆記

Dec 7, 2022

RNN, LSTM, GRU之間的原理與差異

Dec 7, 2022

A Comparison between RNN, LSTM, and GRU

A Note for the basic designs of the Recurrent Neural Networks

Dec 7, 2022

A Comparison between RNN, LSTM, and GRU

Dec 7, 2022

An Overview of Contrastive Learning

SimCLR, MoCo, SwAV, BYOL, CLIP, DeepCluster, PIRL, Barlow Twins. Understanding Contrastive Learning and its mainstream works.

Dec 2, 2022

An Overview of Contrastive Learning

Dec 2, 2022

Can AI Replace Human Designers? The Magic of Diffusion Models

From VAE to Diffusion Models, understanding the Zero-Shot Text-to-Image through the versions of AIGC software DALL-E

Dec 1, 2022

Can AI Replace Human Designers? The Magic of Diffusion Models

Dec 1, 2022

對比學習 Contrastive Learning 主流方法一覽

SimCLR, MoCo, SwAV, BYOL, CLIP, DeepCluster, PIRL, Barlow Twins，一覽各種模型的底層邏輯

Nov 24, 2022

對比學習 Contrastive Learning 主流方法一覽

Nov 24, 2022

Rice Yang

Rice Yang

A Tech Manager in AI. Experienced in NVIDIA, Alibaba, Pony.ai. Familiar with Deep Learning, Computer Vision, Software Engineering, Autonomous Driving

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