Deep Learning courses

591 Courses

Coursera

Oracle Cloud Infrastructure Generative AI Professional

Enhance your expertise in cloud-based artificial intelligence by enrolling in the Oracle Cloud Infrastructure Generative AI Professional course. This course is designed to provide you with a deep understanding of Large Language Models (LLMs) and guide you through mastering the OCI Generative AI Service. You will also learn to build an innovat.

Udemy

Universal Deep Learning Mastery - 2024 Edition with Updated

Join the "Universal Deep Learning Mastery - 2024 Edition" on Udemy and become a deep learning expert. This comprehensive course will guide you through the process of building intuition from a single neuron to complex deep neural networks, using industry-standard tools like Keras and Tensorflow. Perfect for anyone looking to advance their ski.

Udemy

The Ultimate Beginners Guide to Face Detection & Recognition

Embark on a transformative learning journey to master face detection and recognition from images, videos, and webcams, utilizing powerful libraries like OpenCV and Dlib. This course, crafted for beginners, empowers you with the skills to effectively implement facial recognition solutions in Python. Offered on Udemy, this training cover.

Udemy

Machine Learning on Google Cloud: Sequence and Text Models

Unlock the potential of Machine Learning on Google Cloud by delving into its advanced applications in Sequence Models and Natural Language Processing. This comprehensive course, available on Udemy, is tailored for enthusiasts eager to enhance their understanding of these cutting-edge technologies. With a curriculum designed to deepen your kno.

Udemy

TensorFlow Hub: Deep Learning, Computer Vision and NLP

Join the TensorFlow Hub course to effortlessly develop projects in the rapidly growing fields of computer vision and natural language processing. This course, provided by Udemy, empowers you to create innovative solutions with just a few lines of code. Gain expertise in various key areas, including: Computer Vision Deep Learning Neura.

Udemy

Self-Supervised Learning A-Z: Theory & Hands-On Python

Udemy

Machine Learning with TensorFlow on Google Cloud

Discover the world of machine learning with our in-depth course on using TensorFlow on Google Cloud. This hands-on experience allows you to build, train, and deploy robust ML models utilizing Google's powerful infrastructure. Whether you're delving into neural networks or mastering regression techniques, this course offers a comprehensive gui.

Udemy

Become a TensorFlow Certified Professional Developer

Elevate your AI expertise with our immersive training program designed to prepare you as a TensorFlow Certified Developer. Offered by Udemy, this course provides an unparalleled opportunity to sharpen your skills in various key AI domains. Whether you're delving into Machine Learning, diving deep into Neural Networks, or exploring the intricac.

Udemy

Complete PySpark & Google Colab Primer For Data Science

Master the art of building machine learning and neural network models using PySpark and Google Colab with this comprehensive primer. Perfectly suited for aspiring data scientists, this Udemy course covers essential topics including machine learning, big data, deep learning, and more. Discover how to efficiently process data and perform stati.

Udemy

Machine Learning for Interviews & Research and DL basics

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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!