The Hsinchu Wishun centre

新竹暐順商務中心, 復興三路二段168號6F, 30273, 新竹, taiwan, 30274

T新竹暐順商務中心位於新竹高鐵竹北特區之商業區。從經貿大樓步行空橋只需1分鐘即可抵達的高鐵新竹站,同時緊連台鐵內灣支線六家站。 交通上極佔地利之便,通過1號國道和省道即能輕鬆抵達新竹科學工業園區(8公里)和新竹市中心(15公里)。 該中心是新竹地區少有的A級建築之一。新建成的複合式商業大樓涵蓋了購物商場、景觀餐廳、企業辦公和商務飯店等多元商業機能設施。鄰近之公園綠地和商務飯店包括水圳森林公園和新竹喜來登酒店。高科技企業環繞和頂級居住社區林立,正是希冀新創和擴展新竹地區業務之企業爭相進駐的新樞紐所在。雷格斯新竹暐順中心提供符合各類型及尺寸需求的彈性辦公空間服務方案,並以合理的價格提供全方位的優質服務。雷格斯新竹暐順中心位於新竹高鐵竹北特區商業樞紐,鄰近多元商業機能設施

子目錄 (11)

探索我們的課程

Computer Vision with Google Colab and TensorFlow

21 時間:

Deep Learning with TensorFlow in Google Colab

14 時間:

Edge AI with TensorFlow Lite

14 時間:

Deep Learning for NLU: Beyond NLP Models

21 時間:

Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

21 時間:

AI-Driven Drug Discovery and Development

21 時間:

AlphaFold

7 時間:

DeepSpeed for Deep Learning

21 時間:

Introduction to Large Language Models (LLMs)

14 時間:

Introduction to Stable Diffusion for Text-to-Image Generation

21 時間:

Advanced Machine Learning with Python

21 時間:

Applied AI from Scratch in Python

28 時間:

Deep Reinforcement Learning with Python

21 時間:

Deep Learning for Telecom (with Python)

28 時間:

Artificial Intelligence Overview

7 時間:

Artificial Intelligence in Automotive

14 時間:

From Zero to AI

35 時間:

Artificial Neural Networks, Machine Learning, Deep Thinking

21 時間:

Applied AI from Scratch

28 時間:

Artificial Neural Networks, Machine Learning and Deep Thinking

21 時間:

Deep Learning for Vision with Caffe

21 時間:

Deep Learning Neural Networks with Chainer

14 時間:

Using Computer Network ToolKit (CNTK)

28 時間:

Introduction to Deep Learning

21 時間:

DeepMind Lab

14 時間:

Advanced Deep Learning

28 時間:

Deep Learning for Business

14 時間:

Deep Learning for Banking (with Python)

28 時間:

Deep Learning for NLP (Natural Language Processing)

28 時間:

Deep Learning for Vision

21 時間:

Accelerating Deep Learning with FPGA and OpenVINO

35 時間:

Fraud Detection with Python and TensorFlow

14 時間:

Distributed Deep Learning with Horovod

7 時間:

Introduction Deep Learning & Neural Networks for Engineers

21 時間:

Deep Learning with Keras

21 時間:

Matlab for Deep Learning

14 時間:

Machine Learning and Deep Learning

21 時間:

Neural computing – Data science

14 時間:

Python and Deep Learning with OpenCV 4

14 時間:

OpenFace: Creating Facial Recognition Systems

14 時間:

OpenNMT: Setting Up a Neural Machine Translation System

7 時間:

Advanced Machine Learning with R

21 時間:

Deep Learning with TensorFlow 2

21 時間:

Tensorflow Lite for Microcontrollers

21 時間:

TensorFlow Serving

7 時間:

Deep Learning with TensorFlow

21 時間:

TensorFlow for Image Recognition

28 時間:

TensorFlow Extended (TFX)

21 時間:

TPU Programming: Building Neural Network Applications on Tensor Processing Units

7 時間:

Natural Language Processing with TensorFlow

35 時間:

Understanding Deep Neural Networks

35 時間:

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