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Deep Learning courses

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California Institute of Technology LinkedIn Learning

Deep Learning: Model Optimization and Tuning

Deep Learning: Model Optimization and Tuning - LinkedIn Learning Explore various optimization and tuning options for deep learning models. Enhance your skills and improve your models with LinkedIn Learning's expert-led course. University: LinkedIn Learning Categories: Deep Learning Courses, Neural Networks Courses
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand
California Institute of Technology Udemy

Deep Learning Mastery 2024

Deep Learning Mastery 2024 Join the "Deep Learning Mastery 2024" course and master the complete life cycle of a deep learning project. This comprehensive course will guide you through implementing various neural networks using TensorFlow and Keras. Provider: Udemy Categories: Python Courses Machine Learning Courses Deep Learning Courses.
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provider Udemy
pricing Paid Course
duration 4 hours 16 minutes
sessions On-Demand
California Institute of Technology Udemy

Complete Data Science BootCamp 2024

Complete Data Science BootCamp 2024 - Udemy Join the Complete Data Science BootCamp 2024 by Udemy and dive deep into the world of Data Science. This comprehensive program covers Machine Learning, Deep Learning, and practical Data Science skills. Throughout the course, you'll engage in building 5 unique projects that solidify your understandi.
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provider Udemy
pricing Paid Course
duration 7 hours 37 minutes
sessions On-Demand
California Institute of Technology openHPI

Praktische Einführung in Deep Learning für Computer Vision

Praktische Einführung in Deep Learning für Computer Vision Über “Neuronale Netze”, “Artificial Intelligence” und “Deep Learning” reden heute alle. Jeder möchte künstliche Intelligenz nutzen, doch wie fange ich am besten damit an? In diesem Kurs werden wir künstliche neuronale Netze, die Grundlage künstlicher Intelligenz, sowohl theoretisch als auch.
provider openHPI
pricing Free Online Course
duration 4 weeks
sessions On-Demand
California Institute of Technology Coursera  Specialization

Fundamentos de IA para Todos

La Inteligencia Artificial (IA) ya no es ciencia ficción. Está impregnando rápidamente todos los sectores y tiene un profundo impacto en prácticamente todos los aspectos de nuestra existencia. Tanto si eres un ejecutivo, responsable, profesional del sector, investigador o estudiante, comprender la IA, su impacto y su potencial transformador pa.
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provider Coursera  Specialization
pricing Paid Course
duration 13 weeks, 3 hours a week
California Institute of Technology OpenClassrooms

Classez et segmentez des données visuelles

Classez et segmentez des données visuelles Bienvenue dans le cours de vision par ordinateur ! Dans ce cours, vous allez apprendre à classifier des images à l'aide des algorithmes issus du Machine Learning, en particulier de l'apprentissage supervisé (approche plutôt traditionnelle) et du Deep Learning (approche très moderne). La première partie vo.
provider OpenClassrooms
pricing Free Online Course
duration 15 hours
sessions On-Demand
California Institute of Technology Coursera

AI For Everyone （すべての人のためのAIリテラシー講座）

AI For Everyone （すべての人のためのAIリテラシー講座） AIはエンジニアだけのものではなく、今や社会人の基本リテラシーといえます。本コースは、AIの基礎を学びたい方、今の組織をAIを使いこなせる組織へと変革させたい方、そんなすべての方々に、理系文系問わず、肩書きや職種問わず、受講いただけるコースです。 本コースでは、次のことを学習していただきます：.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand
California Institute of Technology Coursera

Neuronale Netze und Deep Learning

Wenn auch Sie topaktuelle KI für sich nutzen möchten, sind Sie mit diesem Kurs auf dem richtigen Weg. Deep Learning-Pioniere sind vielgefragt und wenn Sie Deep Learning einmal gemeistert haben, stehen Ihnen zahlreiche Karrieremöglichkeiten offen. Deep Learning ist eine neue „Superkraft“, mit der Sie KI-Systeme entwickeln können, die so vor ein.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand
California Institute of Technology Coursera

Améliorez les réseaux neuronaux profonds

Améliorez les réseaux neuronaux profonds Dans ce cours, vous apprendrez la "magie" qui permet l'efficacité de l’apprentissage profond. Plutôt que de voir le processus d’apprentissage profond comme une boîte noire, vous comprendrez ce qui commande la performance et vous pourrez ainsi obtenir systématiquement de bons résultats plus souvent. Vous a.
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provider Coursera
pricing Free Online Course (Audit)
duration 18 hours
sessions On-Demand
California Institute of Technology Coursera

Réseaux neuronaux convolutifs

Réseaux neuronaux convolutifs Ce cours vous apprendra à créer des réseaux neuronaux convolutifs et à les appliquer aux données d’image. Grâce à l’apprentissage en profondeur, la vision par ordinateur fonctionne beaucoup mieux qu’il y a seulement deux ans, ce qui permet de nombreuses applications passionnantes allant de la conduite autonome en to.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 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!