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Deep Learning courses

591 Courses

California Institute of Technology Udemy

Advanced Reinforcement Learning in Python: from DQN to SAC

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California Institute of Technology Udemy

End-to-End Machine Learning: From Idea to Implementation

Unlock the potential of artificial intelligence with our course, "End-to-End Machine Learning: From Idea to Implementation." Designed for both beginners and experts, this Udemy course offers a practical approach to building, managing, and deploying machine learning projects through the power of Python and MLOps. Explore the seamless integrati.
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California Institute of Technology Udemy

Embedded Systems Bootcamp: RTOS, IoT, AI, Vision and FPGA

Enhance your expertise in embedded systems with our inclusive bootcamp, featuring in-depth modules on RTOS, the Internet of Things (IoT), Artificial Intelligence (AI), and computer vision. Gain proficiency in working with an array of microcontrollers through hands-on projects utilizing Raspberry PI, ESP32, Arduino, and delve into FPGA.
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California Institute of Technology Udemy

Generative Adversarial Networks (GANs): Complete Guide

Embark on a journey into the innovative world of Generative Adversarial Networks (GANs) with our complete guide. This course offers an in-depth exploration of deep learning and computer vision, empowering you to implement transformative projects utilizing GANs, a pivotal technology reshaping the digital landscape. Offered by Udemy, this course.
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California Institute of Technology Udemy

Modern Reinforcement Learning: Actor-Critic Agents

Modern Reinforcement Learning: Actor-Critic Agents | Online Course Explore the advanced realms of artificial intelligence with our comprehensive course on Modern Reinforcement Learning: Actor-Critic Agents. Gain hands-on experience by implementing cutting-edge AI research papers in the Open AI Gym environment using PyTorch and TensorFl.
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California Institute of Technology Udemy

Artificial Intelligence and Machine Learning: Complete Guide

Artificial Intelligence and Machine Learning: Complete Guide Are you eager to dive into the world of Artificial Intelligence but unsure where to begin? Our comprehensive guide is designed just for you. You will learn everything you need to know in both theory and practical application. Offered by Udemy, this course covers a wide range of catego.
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California Institute of Technology Udemy

Artificial Intelligence: Navigating Regulations & Standards

Visit Udemy Embark on a journey through the landscape of artificial intelligence with our course, "Artificial Intelligence: Navigating Regulations & Standards." Dive deep into understanding AI risks and learn about responsible use through a comprehensive overview of essential regulations and standards. Artificial Intelligence Courses Machin.
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California Institute of Technology Udemy

Artificial Intelligence with Machine Learning, Deep Learning

Delve into the world of Artificial Intelligence with our comprehensive course on Machine Learning and Deep Learning using Python. Learn to harness the power of Transfer Learning and frameworks like TensorFlow to take your AI skills to the next level. Perfect for anyone looking to deepen their understanding of Neural Networks and beyond.
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California Institute of Technology Udemy

The Complete Artificial Intelligence for Cyber Security 2024

Explore the cutting-edge course, The Complete Artificial Intelligence for Cyber Security 2024, and unlock the potential of AI in the realm of cybersecurity. This comprehensive program, provided by Udemy, combines the disciplines of Data Science, Machine Learning, and Deep Learning to equip you with the skills needed to create powerful AI-driv.
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California Institute of Technology Udemy

Data Analytics and Artificial Intelligence for Beginners

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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!