Deep Learning courses

487 Courses

Udemy

Deep Learning verstehen: Entwickle Neuronale Netze in Python

Udemy

Paid Course

9 hours 58 minutes

On-Demand

Udemy

AIパーフェクトマスター講座 -Google Colaboratoryで隅々まで学ぶ実用的な人工知能/機械学習-

AIパーフェクトマスター講座 - Google Colaboratoryで隅々まで学ぶ実用的な人工知能/機械学習 - Udemy コース概要 AIパーフェクトマスター講座は、Google Colaboratoryを活用して実用的な人工知能技術を隅々まで学べるコースです。ディープラーニングを中心に、画像識別や画像生成、RNNや強化学習などの有用なAI技術を幅広く習得し、最終的には人工知能Webア.

Udemy

Paid Course

12 hours 8 minutes

On-Demand

Udemy

BERTによる自然言語処理を学ぼう！ -Attention、TransformerからBERTへとつながるNLP技術-

BERTによる自然言語処理を学ぼう！ -Attention、TransformerからBERTへとつながるNLP技術- BERTによる自然言語処理を学ぼう！ -Attention、TransformerからBERTへとつながるNLP技術- ディープラーニング（深層学習）を使う自然言語処理技術の中でも、特に注目を集めているBERTを解説するコースです。Google Colab.

Udemy

Paid Course

4-5 hours

On-Demand

Udemy

Full Stack Web Developer with AI & ML Integration|Hindi|Urdu

Full Stack Web Developer with AI & ML Integration | Hindi | Urdu Enhance your skills with our comprehensive Full Stack Web Development Course, integrating Machine Learning and Artificial Intelligence using Python and Django. This course is designed for Hindi and Urdu speakers and is offered by Udemy, covering essential areas such as: Artif.

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Paid Course

1 day 13 hours 9 minutes

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Udemy

Python: Yapay Zeka için Python Programlama (1)

Python: Yapay Zeka için Python Programlama (1) Python: Yapay Zeka için Python Programlama (1) Üniversite: Udemy Bir Profesyonel gibi Python öğrenin! Temel konulardan başlayın ve Yapay Zeka öğrenmek için gerekli temelleri atın!

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Paid Course

9 hours 45 minutes

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Udemy

Deep Learning, Neuronale Netze & AI: Der Komplettkurs

Erlernen Sie die Grundlagen und fortgeschrittenen Techniken der künstlichen Intelligenz in unserem umfassenden Kurs "Deep Learning, Neuronale Netze & AI: Der Komplettkurs". Nutzen Sie Python, Keras und Tensorflow 2, um beeindruckende Projekte wie Bildverarbeitung und Bitcoin-Kursvorhersagen zu realisieren. Werden Sie ein Expertenentwickler für.

Udemy

Paid Course

1 day 1 hour 21 minutes

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Udemy

Deep Learning ve Python: A'dan Z'ye Derin Öğrenme (5)

Deep Learning ve Python: A'dan Z'ye Derin Öğrenme (5) Python ile Derin Öğrenme (Deep Learning) algoritmaları geliştirerek Yapay Zeka amacımıza bir adım daha yaklaşalım - 2020. University: Udemy Categories: Artificial Intelligence Courses, Python Courses, Deep Learning Courses

Udemy

Paid Course

8 hours 48 minutes

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Udemy

Data Science ve Python: Sıfırdan Uzmanlığa Veri Bilimi (2)

Data Science ve Python: Sıfırdan Uzmanlığa Veri Bilimi (2) | Udemy Bir Profesyonel gibi Data Science (Veri Bilimi) öğrenin ve Yapay Zeka öğrenmek için gerekli temelleri atın! Udemy tarafından sunulan bu kapsamlı kurs, sıfırdan uzmanlığa veri bilimi becerileri kazanmanızı sağlar. Kategoriler: Artificial Intelligence Courses, Python Courses.

Udemy

Paid Course

6 hours 33 minutes

On-Demand

Formação Cientista de Dados: O Curso Completo

Formação Cientista de Dados: O Curso Completo Domine as mais Importantes Técnicas de Data Science com Python e R e Seja o Profissional Mais Cobiçado da Atualidade. Este curso abrangente cobre uma variedade de tópicos essenciais incluindo Machine Learning, Deep Learning, Redes Neurais, Ciência de Dados, Visualização de Dados, Análise de Regressão.

Deep Learning com Python de A a Z - O Curso Completo

Deep Learning com Python de A a Z - O Curso Completo Participe do nosso curso profundo sobre Deep Learning com Python e descubra o universo das redes neurais artificiais, convolucionais, recorrentes, mapas auto organizáveis, boltzmann machines, autoencoders e GANs. Desenvolva habilidades que transformarão sua carreira. Unidade de Ensi.

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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!