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Deep Learning courses

371 Courses

California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Japanese) (日本語字幕版)

Explore the fascinating world of artificial intelligence in the "Introduction to Artificial Intelligence (Japanese) (日本語字幕版)" course offered by AWS Skill Builder. This comprehensive course delves into the essentials of AI, explaining its significance and covering subsets such as Machine Learning (ML) and Deep Learning (DL). Learn how AI is in.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Korean)

이 과정은 인공 지능(AI)에 대한 입문 과정으로, AI의 기본 개념과 중요성을 이해하고, 그 하위 범주인 기계 학습과 딥러닝에 대해서도 배워봅니다. 또한, Amazon이 제품에 AI를 어떻게 통합하는지 사례를 통해 설명합니다. 강의에 한국어 자막 제공이 가능하며, 자막은 화면 하단의 CC 버튼을 통해 조절할 수 있습니다. 이 과정은 AWS Skill Builder에서 제공하는 인공 지능.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Traditional Chinese)

探索人工智能的奧秘，這是一門介紹人工智慧（AI）的基礎課程。本課程將闡述AI的基本概念和重要性，涵蓋基礎知識包括機器學習和深度學習——作為AI不可分割的一部分。同時，將展示亞馬遜如何在其業務中實施AI技術。想要開啟或關閉翻譯字幕，請點擊視頻播放器下方的CC按鈕。 此課程由AWS Skill Builder提供，適合對人工智能、機器學習或深度學習有興趣的學習者。
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology Coursera

Deep Learning and Reinforcement Learning

Title: Deep Learning and Reinforcement Learning Description: Engage with two of the most advanced disciplines in the field of Machine Learning through this comprehensive course offered by Coursera. Delve into Deep Learning, a key subset of Machine Learning that underpins many current AI applications, touching aspects of both Supervised and Unsuperv.
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provider Coursera
pricing Free Online Course (Audit)
duration 32 hours
sessions On-Demand
California Institute of Technology Coursera

An Introduction to Practical Deep Learning

Title: An Introduction to Practical Deep Learning Description: Dive into the world of artificial neural networks with our course, "An Introduction to Practical Deep Learning", offered through Coursera. Discover how Deep Learning leverages vast datasets to power innovations like self-driving cars, intelligent voice interfaces, genomic sequencing, an.
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provider Coursera
pricing Free Online Course (Audit)
duration 6 weeks
sessions On-Demand
California Institute of Technology University of California, Berkeley

Fundamentos de IA Aplicados ao CRM

Welcome to the "Fundamentos de IA Aplicados ao CRM" course offered by the University of California, Berkeley through Coursera. This course is fundamental in understanding how data-driven decision-making is becoming increasingly essential in the progression of the new economy. Companies that leverage CRM using data not only focus on analyzing number.
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provider Coursera
pricing Free Online Course (Audit)
duration 26 hours
sessions On-Demand
California Institute of Technology University of Manchester

NLP Modelos y Algoritmos

Curso de NLP: Modelos y Algoritmos Impartido por la University of Manchester y disponible en Coursera, este curso está diseñado para proporcionarte una comprensión profunda de los algoritmos de Procesamiento de Lenguaje Natural (NLP). A lo largo del curso, explorarás y aplicarás los últimos y más populares algoritos en NLP para resolver problemas e.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology Coursera

Machine Learning Introduction for Everyone

Machine Learning Introduction for Everyone is a comprehensive three-module course available on Coursera, designed to introduce machine learning and data science fundamentals to learners. This course is well-suited for individuals looking to grasp essential machine learning models and applications. The curriculum covers the historical context of mac.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand
California Institute of Technology FutureLearn

Deep Learning on Azure with Python: AI for Beginners

Explore the forefront of technology with "Deep Learning on Azure with Python: AI for Beginners," offered by FutureLearn. This course serves as an essential introduction to the field of artificial intelligence, particularly through the use of Microsoft Cognitive Services, and it utilizes Python as the main programming language. AI technology is incr.
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provider FutureLearn
pricing Paid Course
duration 3 weeks, 6 hours a week
sessions On-Demand
California Institute of Technology DataCamp

Deep Learning with PyTorch

Title: Deep Learning with PyTorch Description: Dive into the world of Artificial Intelligence with our comprehensive course on Deep Learning using PyTorch, presented by DataCamp. This engaging course is designed for individuals eager to master deep learning techniques and apply them using the PyTorch framework. From learning basic neural network co.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
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!