Deep Learning courses

487 Courses

Data Science - Master Analytics and become Data Scientist

Title: Data Science - Master Analytics and Become a Data Scientist Description: Learn Python, RLang, Neural Networks, ANN, Deep Learning - Tools, software like KNIME, Spark, SciPy, Tableau, and others. University: Provider: Categories: Python Courses, Deep Learning Courses, Neural Networks Courses, Data Science Courses, SciPy Courses, K.

Deep Learning A-Z™| Python ile Derin Öğrenme

Deep Learning A-Z™ | Python ile Derin Öğrenme Yapay Zeka hakkında hiç bilginiz olmasa dahi Python ile Deep Learning yöntemlerini uygulamalarla sıfırdan öğreniyoruz! Python Courses Deep Learning Courses TensorFlow Courses Keras Courses

Udemy

PyTorch ile Derin Öğrenme

PyTorch ile Derin Öğrenme | Udemy Kursu Udemy'de PyTorch kütüphanesi ile Derin Öğrenme projeleri oluşturmayı öğrenin. Bu kurs, Python, Makine Öğrenimi, Derin Öğrenme, NumPy ve pandas konularını kapsar, böylece kapsamlı bir öğrenme deneyimi sunar.

Udemy

Paid Course

8 hours

On-Demand

Udemy

Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow

Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow Google Tensorflow ile Python dilinde makine öğrenimi, yapay sinir ağları ve deep learning programları geliştirin. Bu kapsamlı kurs, Udemy tarafından sunulmaktadır ve meraklılarına derin öğrenme ve makine öğrenimi alanında güçlü bir temel sağlayacaktır. Üniversite: Udemy Kategoriler: Python.

Udemy

Paid Course

7 hours

On-Demand

Udemy

Makine Mühendisleri için Derin Öğrenme

Makine Mühendisleri için Derin Öğrenme Makine Mühendisleri için Derin Öğrenme Bu kapsamlı kurs, makine mühendislerine özel olarak hazırlanmıştır. Veri toplama ve veriyi anlamlı hale getirme süreçlerini öğrenirken, aynı zamanda bu verilerden derin öğrenme modelleri oluşturmayı öğreneceksiniz. Udemy'de sunulan bu kurs, Python, Keras ve diğer popü.

Udemy

Paid Course

2-3 hours

On-Demand

Python pour le Deep Learning & le Machine Learning: A à Z

Python pour le Deep Learning & le Machine Learning: A à Z Plongez dans l'univers fascinant du Machine Learning avec notre cours complet Python pour le Deep Learning & le Machine Learning: A à Z. Ce programme détaillé vous guidera à travers les bases et les avancées nécessaires pour maîtriser l'intelligence artificielle, les outils TensorFlow, et.

edX

Vision artificielle et exploitation intelligente des ressources naturelles

Vision artificielle et exploitation intelligente des ressources naturelles Bienvenue au cours VIARENA, «Vision artificielle et exploitation intelligente des ressources naturelles». La vision artificielle est l'art et la science de rendre les ordinateurs capables d'interpréter intelligemment des images. Il existe une multitude d'applications de la.

Udemy

Inteligencia Artificial & ChatGPT: De Cero a Avanzado 2024

Inteligencia Artificial & ChatGPT: De Cero a Avanzado 2024 El curso completo de Inteligencia Artificial: Chat GPT, IA Generativa, LLMs, IA Prompt Engineering, Midjourney y más! Ofrecido por: Udemy Categorías: Cursos de Inteligencia Artificial, Cursos de Aprendizaje Automático, Cursos de Aprendizaje Profundo, Cursos de ChatGPT

edX

Introduction à l'apprentissage profond

Introduction à l'apprentissage profond Développé par IVADO et le MILA, ce cours d'une durée totale de 5 heures présente les concepts fondamentaux de l'apprentissage profond à travers 5 modules de formation proposés en français. Le contenu sera présenté à l’aide de vidéos pédagogiques présentés par des spécialistes du domaine : Alain Tapp, Yoshua B.

Coursera

AI Infrastructure and Operations Fundamentals

AI Infrastructure and Operations Fundamentals Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to self-driving cars, to the immense possibilities offered by generative AI. AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do t.

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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!