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Deep Learning courses

487 Courses

California Institute of Technology Udemy

Artificial Neural Networks for Business Managers in R Studio

Master the fundamentals of Artificial Neural Networks with our "Artificial Neural Networks for Business Managers in R Studio" course. Offered by Udemy, this course is designed specifically for business managers who want to delve into the world of predictive models through ANN, without requiring prior expertise in coding or complex mathematics..
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California Institute of Technology Udemy

Master Course in Artificial Intelligence & Deep Learning 3.0

Elevate your expertise with the Master Course in Artificial Intelligence & Deep Learning 3.0, offered by Udemy. This comprehensive program is designed to cover a vast array of topics including Artificial Intelligence (AI), Deep Learning (DL), Robotics, and Industry 4.0. Broaden your knowledge in cutting-edge areas such as Machine Learning, Neu.
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California Institute of Technology XuetangX

Introduction to Artificial Intelligence

This course offers a comprehensive introduction to the fundamental concepts, history, and algorithms of Artificial Intelligence. Participants will gain insights into key AI terminologies such as data processing, machine learning, deep learning, and neural networks. Additionally, the course covers practical AI applications in areas like classifi.
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California Institute of Technology XuetangX

Principles and Practice of Artificial Intelligence

In July 2017, China's State Council unveiled the "New Generation Artificial Intelligence Development Plan," a pivotal move that positioned AI advancement as a national strategic focus. As AI drives high-quality development, it reshapes the concept of new productive forces and stands as a measure of a nation's technological innovation and prowess in.
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California Institute of Technology XuetangX

Introduction to Artificial Intelligence

Gain a comprehensive understanding of artificial intelligence with our extensive course, incorporating knowledge from diverse fields such as philosophy, brain science, mathematics, and computing. This program delves into various AI types, including perceptual, cognitive, language, and behavioral intelligence. Discover fundamental concepts and st.
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California Institute of Technology Udemy

Deep Learning, Neuronale Netze und TensorFlow in Python

Werde ein Experte im Deep Learning mit diesem umfassenden Kurs zur Mathematik und Praxis neuronaler Netze, unter Verwendung von Keras und TensorFlow in Python. Diese 2024 Edition bietet aktuelle Inhalte und praktische Einblicke in die Welt des Machine Learnings.
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California Institute of Technology Udemy

Python pour le Deep Learning & le Machine Learning: A à Z

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California Institute of Technology Udemy

Full Stack Web Developer with AI & ML Integration|Hindi|Urdu

Elevate your career with our comprehensive Full Stack Web Development Course, specializing in the integration of Machine Learning and Artificial Intelligence. Offered in both Hindi and Urdu, this course provides a robust framework using Python and Django to innovate and implement AI-driven web applications. Crafted by industry experts at Udemy,.
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California Institute of Technology XuetangX

融合知识的预训练语言模型

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California Institute of Technology XuetangX

万物互联

庄子曾言：“圣人者，原天地之美而达万物之理”。他通过对天地壮美的感受洞悉了宇宙万物的演化规律。随着科技的发展，感知设备能够更加智能地连接人与信息，把现实与数字世界无缝衔接，万物互联的新时代即将开启。我们的课程将引领你进入这个高能的万物互联时代。 课程沿时间线梳理万物互联的发展历程，深入讲解互联网的不同发展阶段，细致剖析万物互联的事物、数据、人员和流程.
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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!