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Deep Learning courses

324 Courses

California Institute of Technology Coursera

Utilisation des méthodes de Deep Learning avec Python pour la prédiction boursière.

Utilisation des méthodes de Deep Learning avec Python pour la prédiction boursière A la fin de ce projet, vous serez en mesure de : Créer une application Web connectée à Yahoo Finance pour prédire la tendance de plusieurs actions boursières. Déployer une Application Web de Deep Learning à l’aide de Streamlit. Implémenter un réseau.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Indian Institute of Management Bangalore

Deep Learning for Business

Deep Learning for Business Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology Taipei Medical University

Applications of AI Technology

Applications of AI Technology | FutureLearn From our workplaces to our homes, AI can now be found in all aspects of our lives. On this four-week course, you’ll delve into the applications of AI technology and how it is affecting the future of four key areas. You’ll start by discovering intelligent systems, where you’ll explore neural networks, g.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 4 weeks, 2 hours a week
sessions On-Demand
California Institute of Technology Udemy

Neural Networks e Deep Learning para Leigos: Sem Mistérios!

Neural Networks e Deep Learning para Leigos: Sem Mistérios! Aprenda de forma fácil e intuitiva o que são e como funcionam as redes neurais artificiais. Provider: Udemy Categories: Deep Learning Courses, Gradient Descent Courses
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Redes neuronales convolucionales con Keras

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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Seeing Clearly: Computer Vision Theory (Spanish)

Seeing Clearly: Computer Vision Theory (Spanish) Estos cursos analizan la manera en la que las máquinas logran comprender imágenes y videos. Abarcaremos temas de visión artificial como el reconocimiento automático de objetos y actividades y la primera cámara de aprendizaje profundo del mundo, por no mencionar las demostraciones de casos de uso co.
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provider AWS Skill Builder
pricing Free Certificate
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Python ile Makine Öğrenmesi

Python ile Makine Öğrenmesi Python ile Makine Öğrenmesi kursuna hoş geldiniz! Bu kapsamlı kurs ile yapay zeka, veri bilimi ve machine learning kavramlarını gerçek hayat problemleri üzerinden uygulayarak öğreneceksiniz. Udemy tarafından sunulan bu kurs, Python kullanarak derin öğrenme ve makine öğrenimi alanlarında yetkinlik kazanmanızı sağlayaca.
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provider Udemy
pricing Paid Course
duration 22 hours 21 minutes
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to AWS DeepLens (Spanish)

Introducción a AWS DeepLens (Español) Este es un curso introductorio sobre AWS DeepLens, la primera cámara de video del mundo habilitada para aprendizaje profundo. En este curso se revisa el hardware del dispositivo, su arquitectura y las plantillas de proyecto de muestra de AWS DeepLens, que le permiten comenzar a crear aplicaciones de visión a.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology University of California, San Diego

Fuzzy Logic And Neural Networks

Fuzzy Logic and Neural Networks Course Discover the fascinating world of Fuzzy Logic and Neural Networks with our comprehensive course. Course Highlights: Introduction to fuzzy sets and comparison with crisp sets Detailed discussion on terms and grammar of fuzzy sets with numerical examples Explanation of fuzzy reasoning and fuzzy cluster.
provider Swayam
pricing Free Online Course
duration 8 weeks
sessions 21st Jan, 2024
California Institute of Technology Udemy

Redes Neurais Artificiais em Python

Redes Neurais Artificiais em Python | Udemy Aprenda na teoria e na prática os fundamentos das redes neurais em Python e entre para o mundo do Deep Learning com nosso curso completo oferecido pela Udemy! Categories: Python Courses, Deep Learning Courses, scikit-learn Courses, NumPy Courses, Gradient Descent Courses
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provider Udemy
pricing Paid Course
duration 8 hours 15 minutes
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!