北京 - 数码大厦
探索我们的课程
Python用于高级机器学习
21 小时用Python进行深度强化学习
21 小时用于电信行业的深度学习(使用Python)
28 小时Advanced Deep Learning
28 小时Deep Learning for Vision
21 小时Matlab:用于深度学习
14 小时PaddlePaddle
21 小时Last Updated:
客户评论 (9)
我们通过实际示例对 Machine Learning、Neural Networks 和 AI 进行了概述。
Catalin - DB Global Technology SRL
课程 - Machine Learning and Deep Learning
机器翻译
examples based on our data
Witold - P4 Sp. z o.o.
课程 - Deep Learning for Telecom (with Python)
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
课程 - Introduction to Deep Learning
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
课程 - Artificial Neural Networks, Machine Learning, Deep Thinking
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
课程 - TensorFlow Extended (TFX)
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
课程 - Advanced Deep Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
课程 - Python for Advanced Machine Learning
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
课程 - TensorFlow for Image Recognition
I liked the opportunities to ask questions and get more in depth explanations of the theory.