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Deep Learning courses

632 Courses

California Institute of Technology Johns Hopkins University

Introduction to Neural Networks

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California Institute of Technology Udemy

PyTorch for Deep Learning Bootcamp: Zero to Mastery

Elevate your understanding of Deep Learning with the PyTorch for Deep Learning Bootcamp: Zero to Mastery. Offered by Udemy, this comprehensive course is designed for individuals eager to dive into the world of Machine Learning using the powerful PyTorch library developed by Facebook. Gain hands-on experience with practical examples that cover.
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California Institute of Technology Udemy

Master AI & Business Strategy: 100 Lessons For Everyone

Dive into the essential world of AI with "Master AI & Business Strategy: 100 Lessons For Everyone" offered on Udemy. Gain comprehensive insights into machine learning, cybersecurity, neural networks, and more to empower your business strategy. In this course, learners will navigate through the intricacies of machine learning, understand the.
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California Institute of Technology Udemy

Malware Forensics v4:AI &ChatGPT Mastery in Malware Analysis

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California Institute of Technology Udemy

AI Business Strategy for Leaders & Managers: ChatGPT, ML, DL

Harness the power of Artificial Intelligence with our expertly curated course, "AI Business Strategy for Leaders & Managers: ChatGPT, ML, DL." Ideal for business professionals seeking to enhance their AI knowledge, this course guides you from being an AI beginner to an advanced AI manager. Explore GenAI options to formulate a robust AI strategy.
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California Institute of Technology Udemy

Curiosity Driven Deep Reinforcement Learning

Discover the groundbreaking field of Curiosity Driven Deep Reinforcement Learning through our comprehensive Udemy course. Perfect for those who want to learn how agents can thrive even in reward-less environments. This course is part of a specialized suite that includes Python, Deep Learning, PyTorch, and OpenAI Gym Courses. Gain valuable in.
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California Institute of Technology Udemy

YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024

Immerse yourself in the cutting-edge realm of computer vision and artificial intelligence with our YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024 course offered by Udemy. This expertly crafted course empowers you with the skills to design Custom Object Detection systems, engage in Segmentation, extend your capabilities to Tracking, a.
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California Institute of Technology Udemy

ChatGPT Generative AI For Business Leaders | Gen AI Primer

Embark on a transformative journey with our ChatGPT Generative AI For Business Leaders course. Specially designed for forward-thinking business leaders, this course equips you with the knowledge to leverage Generative AI effectively. Within a concise 2-hour session, delve into the foundational concepts of AI, focusing on practical business a.
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California Institute of Technology Udemy

NVIDIA-Certified Associate - Generative AI LLMs (NCA-GENL)

Udemy Elevate your expertise in Generative AI with the NVIDIA-Certified Associate program. This specialized course prepares you for the NCA-GENL exam, focusing on key areas such as Python, Machine Learning, Deep Learning, Neural Networks, and more. Discover the potential of Generative AI, master Prompt Engineering, and explore the nuances of.
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California Institute of Technology Coursera

Deep Learning Frameworks and Neural Networks Simplified

Join our comprehensive Deep Learning program and equip yourself with advanced skills in TensorFlow, Keras, Recurrent Neural Networks (RNNs), and Neural Networks. Learn to implement cutting-edge AI models and frameworks to effectively tackle real-world challenges and drive impactful innovations. Master TensorFlow and Keras: Discover Tenso.

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!