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Deep Learning courses

487 Courses

California Institute of Technology Stanford University

Stanford Seminar - Erudite: Prototype System for Computational Intelligence

Join us for a revealing seminar at Stanford University, presenting "Erudite: Prototype System for Computational Intelligence," an avant-garde initiative by Wen-mei Hwu in collaboration with the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR). This seminar delves into the dramatic advancements propelled by deep learning since 201.
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provider YouTube
pricing Free Online Course
duration 1 hour 10 minutes
sessions On-Demand
California Institute of Technology FutureLearn

Applied Artificial Intelligence: Computer Vision and Image Analysis

Delve into the fascinating world of AI with our comprehensive course on Applied Artificial Intelligence, focusing on Computer Vision and Image Analysis. This course is a crucial part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, designed to enhance your AI and machine learning abilities while preparing you for Microsoft's microcred.
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provider FutureLearn
pricing Paid Course
duration 4 weeks, 5 hours a week
sessions On-Demand
California Institute of Technology Coursera

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Embark on a transformative journey into the realm of AI with the "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization" course, available on Coursera. This comprehensive course serves as the second installment in the Deep Learning Specialization, designed to demystify the inner workings of deep learning and provid.
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provider Coursera
pricing Free Online Course (Audit)
duration 24 hours
sessions On-Demand
California Institute of Technology Coursera

Sequence Models

Embark on an educational journey with the fifth course of the Deep Learning Specialization offered by Coursera, focusing on Sequence Models. This comprehensive course is designed to acquaint you with the fascinating world of sequence models and their myriad applications, including speech recognition, music synthesis, chatbots, machine translation,.
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provider Coursera
pricing Free Online Course (Audit)
duration 37 hours
sessions On-Demand
California Institute of Technology University System of Maryland

Introduction to Transforming with Data Analytics and the Digital Organization

Embark on a transformative journey towards digital mastery with the University System of Maryland's course offered through edX. In this enlightening program, learners will delve into the essentials of "Introduction to Transforming with Data Analytics and the Digital Organization". Discover how artificial intelligence, groundbreaking technologies, a.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology edX

Deep Learning through Transformative Pedagogy

Delve into the innovative realm of "Deep Learning through Transformative Pedagogy," a course meticulously designed for educators and educational leaders, seeking to blend cutting-edge cognitive psychology, contemporary educational theories, and insights from neuroscience. This course aims to empower students to evolve into creative, connected, and.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology University of Colorado System

6.S191: Introduction to Deep Learning

Title: 6.S191: Introduction to Deep Learning Description: Dive into the exciting world of deep learning with this week-long introductory course. Explore the cutting-edge methods applied in machine translation, image recognition, game playing, and image generation, among others. This collaborative course offers a robust blend of practical labs in Te.
provider Independent
pricing Free Online Course
duration 1 week
sessions On-Demand
California Institute of Technology Wesleyan University

Introduction to Deep Learning

Delve into the cutting-edge world of Deep Learning with our comprehensive course. This introductory program is designed for individuals eager to explore the depth of natural language processing, biomedical applications, and more. Deep Learning empowers the handling of varied data types, including images, texts, voice, graphs, and others, equipping.
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provider Coursera
pricing Free Online Course (Audit)
duration 60 hours
sessions On-Demand
California Institute of Technology Coursera

Build Decision Trees, SVMs, and Artificial Neural Networks

Discover the final frontier in machine learning algorithms in our comprehensive course, "Build Decision Trees, SVMs, and Artificial Neural Networks," offered exclusively on Coursera. This intensive program marks the culmination of the Certified Artificial Intelligence Practitioner (CAIP) series, a professional certificate aimed at expanding your ex.
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provider Coursera
pricing Free Online Course (Audit)
duration 22 hours
sessions On-Demand
California Institute of Technology ETH Zurich

Deep Learning for Natural Language Processing

Immerse yourself in the cutting edge of artificial intelligence with the "Deep Learning for Natural Language Processing" course, a comprehensive program designed to delve into the complexities of processing natural language inputs and outputs, a cornerstone of Artificial General Intelligence. Discover the limitations of traditional symbolic AI tech.
provider Independent
pricing Free Online Course
sessions On-Demand

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!