Join

Deep Learning courses

591 Courses

California Institute of Technology XuetangX

AI TIME PHD - AAAI 专场二

XuetangX Delve into the latest advancements in artificial intelligence at the AI TIME PHD - AAAI 专场二. This Chinese-language session is your gateway to understanding the forefront of AI research. Attendees will benefit from presentations and discussions led by top researchers, focusing on innovative methodologies and practical applications of.
course image
California Institute of Technology XuetangX

AI TIME：ICML科普

Dive into the forefront of artificial intelligence and machine learning with the AI TIME：ICML科普 series. This Chinese-language video series provides detailed coverage on key topics presented at the International Conference on Machine Learning (ICML). Expert explanations bring to life recent research papers and the latest technological advanc.
course image
California Institute of Technology XuetangX

2020高校人工智能人才培养论坛

参加2020高校人工智能人才培养论坛，聚焦于高等教育机构中的人工智能人才发展。该论坛采用中文进行，涵盖如何培养AI专业技能的讨论，探索教育策略，并探讨与行业的合作，以便为下一代AI专业人士做好准备。论坛将由XuetangX提供，适合有志于深度学习和机器学习等领域的参与者，尤其是那些在计算机科学和高等教育课程中寻求创新的方法和合作机会的人士。
course image
California Institute of Technology XuetangX

四位大模型论文一作分享前沿研究

参与这个学术演讲系列，了解大型语言模型的突破性进展。四位第一作者将分享他们的前沿研究成果，带您探索自然语言处理和人工智能的最新动态。 通过他们的研究，您将获取关于构建和应用大型语言模型的深刻见解，以及如何在实际应用中推动这些技术的发展。 快来加入我们，获取尖端知识，提升您的专业技能，让自己在人工智能和机器学习领域中保持领先。
course image
California Institute of Technology XuetangX

AI TIME CVPR 专场一

Join the AI TIME CVPR 专场一 to delve into the forefront of AI research and developments in the realm of computer vision. This session, conducted in Chinese, is part of the CVPR conference and offers attendees an invaluable opportunity to enhance their understanding of the latest innovations and practical applications in artificial intellige.
course image
California Institute of Technology XuetangX

AI TIME PhD ICLR专场五

course image
California Institute of Technology XuetangX

数据科学导论

新技术如云计算、大数据、物联网和人工智能彻底改变了我们对数据的理解，带来了许多新问题，而这些问题在传统理论中尚无解决方案。每个领域现在已发展出许多新的学科如农业大数据、工业大数据等，从学科角度探讨大数据的挑战和解决方案。因此，我们亟需更新我们的知识结构。 课程介绍数据科学的基本概念、理论，并展示其应用和发展前景。学生将掌握获取、处理、管理、分析和.
course image
California Institute of Technology XuetangX

5G与人工智能

《5G与人工智能》是一门专为社会学习者和本科生开设的通识课程，面向希望了解未来工作和新技术发展的学员。无论是对5G、人工智能或相关领域工作有意向的文、理、工科学生，均可选修此课程。 课程目标在于让学员掌握当下热门的科技话题，包括5G和人工智能的基础知识，并为未来就业做好准备。课程响应国家战略，通过全新视角，以浅显易懂的方式进行阐述，并引导解决部分难点。.
course image
California Institute of Technology XuetangX

小白学人工智能

中国也在大力发展新一代人工智能技术，并致力于将其应用于各行各业。本课程完成后，学生将能够： 了解人工智能行业的最新应用和发展趋势。 从数据、算法和计算力的角度理解人工智能的发展。 用行业或生活术语比喻人工智能的概念和原理。 体验和理解深度学习原理，涉及CNN、图像风格迁移、RNN等架构。 通过实例理解深度学习特征，如输入层、隐藏层、输.
course image
California Institute of Technology XuetangX

人工智能技术

近年来在大数据、云计算、物联网等信息环境推动以及新的算法、模型和硬件助力下，人工智能在自然语言理解、语音识别、视觉分析和数据挖掘等领域取得了显著进展，成为社会经济发展的引擎。人工智能作为计算机科学的一个重要分支，是一门理论基础完善、多学科交叉且应用领域广阔的前沿学科，主要研究如何利用计算机模拟、延伸和扩展人类的智能行为。《人工智能技术》课程是计算.
course image

Artificial intelligence is moving towards becoming on the same level as the living human mind. In such dangerous proximity to the execution of one of the futurological scenarios, it becomes a little scary, but at the same time very interesting. Artificial intelligence is nurtured by machine learning specialists. In the last decade, the deep learning method has been developing, and its results are already impressive.

What is deep learning?

“Deep learning” – literally “deep learning”. This is about artificial intelligence and increasing its abilities through training, based not on artificial codes, but on principles similar to the development of human intelligence. Deep learning methods make it possible to make machines self-learning.

The term itself and developments in this area appeared 40 years ago, but until 2012 they could not be applied in practice, as they were limited by insufficient technical capacity. Now there are already published works by the pioneers of deep learning, and textbooks and training courses in this specialty are gradually appearing.

Deep learning on your fingers: The ability of a machine to find an answer using calculations is called artificial intelligence. A machine can be taught to learn independently by building appropriate algorithms - this is called machine learning. With this approach, coded algorithms will no longer be needed to solve problems. The process of acquiring and using skills imitates human thinking and is called deep learning.

What tasks can be performed using deep learning right now?

If at the dawn of automation machines learned to do mechanical work for humans, now machines are learning to do routine intellectual work for us. The further progress we make, the more tasks we can shift to them, freeing up time for what really matters.

Officially, the main task of deep learning is the automation of complex tasks in various areas of human activity. It's like a computer, only of a different century and a different level.

But of particular interest is the neural network’s assistance in creating programs for solving cognitive problems.

Enough general phrases, let's move on to examples:

It’s hard to even imagine what awaits us in the future if people outside of IT have just heard about deep machine learning, and it has already produced such amazing results.

Why study deep learning?

To earn twice as much as ordinary IT specialists. Progress in the field of information technology is not just walking, but actually running, and it’s time to benefit from it. The sphere is not yet oversaturated, and oversaturation will not happen soon. Still, creating neural networks is not as simple as filing nails or maintaining Instagram accounts. But now is the time to start studying in order to develop along with your specialty and, perhaps, soon become someone who develops it.

Deep learning courses that currently exist are divided into four categories. Decide for yourself which one is for you:

  1. Trainings are highly specialized classes for practicing specific skills. Suitable for those who need to form an understanding of the basic principles of machine thinking.

  2. Long courses - for AI specialists and those involved in database analysis. Long-term deeplearning ai courses are not for everyone and require patience and time.

  3. University programs - for maximum immersion in the subject. They may be too difficult for beginners, although the application of effort will give results that should not be expected from short courses.

  4. A short best deep learning course on technology in business - general information for managers who will not be doing it themselves, but need to have an understanding of the subject.

You will have to put in a lot of effort, but the result is worth it. Just for fun, you can look at vacancies for deep learning specialists on sites with job offers and evaluate upcoming prospects. Not everyone needs deep learning experience yet, and soon all the sweet jobs will require several years of practice. So, if you have the ability to train soulless machines that are almost equal to us in intelligence, hurry up to take up vacant positions after a deep learning online course from AI Eeducation!