Deep Learning courses

573 Courses

Udemy

Deep Learning for Natural Language Processing

Join the transformative journey with our "Deep Learning for Natural Language Processing: The Road to BERT" course, provided by Udemy. This course is designed to guide you through the intricate pathways of Natural Language Processing (NLP), focusing on cutting-edge technologies like BERT and Transformers. Dive into comprehensive modules that.

Northeastern University

NLP in Engineering: Concepts & Real-World Applications

Join our comprehensive course, "NLP in Engineering: Concepts & Real-World Applications," offered by Northeastern University on Coursera. Dive into the world of Natural Language Processing and explore various techniques and their principles to address engineering problems. This course is tailored to focus on practical implementation skills acr.

University of Michigan

AI for Energy and Biomedical Applications

“AI for Energy and Biomedical Applications” is a transformative exploration into the revolutionary AI technologies reshaping energy systems and healthcare solutions. In the energy domain, AI is a game-changer in the generation, distribution, and management of energy resources, optimizing renewable energy production, enhancing efficiency, a.

Microsoft Learn

AI Fluency

Module 1: Discover the history and foundational concepts of artificial intelligence. Learn how AI impacts daily life and evaluate AI, machine learning, and deep learning concepts, algorithms, and historical milestones. Module 2: Understand generative AI fundamentals and their effect on creativity and productivity. Distinguish between NL.

Udemy

Natural Language Processing (NLP) in Python with 8 Projects

Embark on a comprehensive journey to master Natural Language Processing (NLP) using Python by working on 8 diverse projects. This Udemy course offers a deep dive into the realms of NLP, machine learning, and deep learning, equipping you with practical skills and knowledge. Throughout the course, you will integrate Python with cutting-edge NL.

Udemy

The Complete Healthcare Artificial Intelligence Course 2024

The Complete Healthcare Artificial Intelligence Course 2024 | Udemy Immerse yourself in the world of healthcare artificial intelligence with our comprehensive course. Learn to develop robust AI models to tackle real healthcare challenges by leveraging the power of data science, machine learning, and deep learning. This course, offered by Udemy.

Udemy

Data Science for Business Leaders: ML Fundamentals

Delve into "Data Science for Business Leaders: ML Fundamentals," a transformative course offered by Udemy that demystifies machine learning and artificial intelligence for business leaders. This no-code program is designed to empower leaders to comprehend and leverage AI as a strategic business tool, enhancing decision-making and innovati.

Udemy

Calculus -for Generative AI ,Data Science & Machine Learning

Unlock the power of calculus for a deeper understanding of artificial intelligence, deep learning, machine learning, and data science. This comprehensive course offered by Udemy is designed to provide you with the essential mathematical foundation needed in these cutting-edge fields. Through hands-on experience, you will master key calculus.

Udemy

Train YOLO for Object Detection with Custom Data

Udemy

Harnessing AI and Machine Learning for Geospatial Analysis

Explore the fascinating world of artificial intelligence and machine learning as applied to geospatial analysis through our expertly crafted course. Enhance your skills in AI, deep learning, and machine learning techniques tailored for geospatial data. Offered by Udemy, this course dives deep into the intersection of these cutting-edge technol.

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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:

Face recognition by the DeepFace system is about 97%, and this result is about the same as that of the average person.

Imitation of human speech by the WaveNet system. This is not reading the text, but composing sentences with accents, without errors in stress and without unnatural pauses.

Making medical diagnoses. For example, determining diabetic retinopathy from photographs of the eyes. The technology is already being used in US medical institutions.

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:

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.

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.

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.

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!