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Deep Learning courses

552 Courses

California Institute of Technology Udacity

RNNs and Transformers

RNNs and Transformers - Udacity Explore the intricacies of RNN architectures and their design patterns in this comprehensive course offered by Udacity. Additionally, gain a deep understanding of transformer architectures and how they differ from traditional RNN models. Perfect for those interested in deep learning, sentiment analysis, and advanc.
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provider Udacity
pricing Paid Course
duration 4 weeks
sessions On-Demand
California Institute of Technology Udacity

Introduction to Neural Networks with PyTorch

Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images. University: Udacity Provider: Udacity Python Courses Computer Vision.
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provider Udacity
pricing Paid Course
duration 4 weeks, 4-5 hours a week
sessions On-Demand
California Institute of Technology Arizona State University

Data Mining for Smart Cities

Data Mining for Smart Cities | Arizona State University | Coursera Internet of things (IoT) has become a significant component of urban life, giving rise to “smart cities.” These smart cities aim to transform present-day urban conglomerates into citizen-friendly and environmentally sustainable living spaces. The digital infrastructure of smart c.
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provider Coursera
pricing Free Online Course (Audit)
duration 63 hours
sessions On-Demand
California Institute of Technology Universidad Continental

Introducción al deep learning contemporáneo

Introducción al deep learning contemporáneo El aprendizaje profundo es actualmente una parte central de la inteligencia artificial contemporánea. Se refiere al proceso realizado por los computadores para aprender de la experiencia, permitiendo describir abstracciones complejas a partir de conceptos más simples de forma jerárquica. Este curso p.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology edX

Apprivoiser l’apprentissage automatique

Apprivoiser l'apprentissage automatique L’objectif principal du MOOC Apprivoiser l'Apprentissage Automatique est de vous présenter les concepts importants de manière simplifiée, puis de les pratiquer à l’aide de 7 tutoriels en Python sur l’application en ligne Colab accessible gratuitement. Le niveau théorique est ajusté pour mettre l’emphase sur.
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provider edX
pricing Free Online Course (Audit)
duration 7 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Udacity  Nanodegree

AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to provide software developers and data scientists with the essential data science and machine learning expertise needed to create and deploy machine learning models in production using Amazon SageMaker. The curriculum emphasizes the latest b.
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provider Udacity  Nanodegree
pricing Paid Course
duration 6 months
California Institute of Technology

Introduction to artificial intelligence for trainers

Module 1: Fundamental Concepts in Artificial Intelligence (AI) and Machine Learning By the end of this module, you'll be able to: Distinguish between supervised, unsupervised, and reinforcement learning, and identify the type of machine learning most suitable for certain scenarios. Assess t.
California Institute of Technology Pluralsight

Deep Learning with Keras 2

Deep Learning with Keras Deep Learning lies at the heart of many leading machine learning and artificial intelligence applications. This course, Deep Learning with Keras, shows you how to use Keras to quickly create powerful deep neural networks. There has been a revolution in artificial intelligence (AI) and machine learning, and deep learning.
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provider Pluralsight
pricing Free Trial Available
duration 2 hours 34 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Deep Learning: The Big Picture

Deep Learning: The Big Picture Deep Learning: The Big Picture Deep learning enables machines to learn complex tasks without explicit programming. In this course, Deep Learning: The Big Picture, you'll explore the fundamentals of deep learning, its applications, and how to embark on your journey with this powerful technology. Firstly, you'll le.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 28 minutes
sessions On-Demand
California Institute of Technology

Mastering Natural Language Processing (NLP) with Deep Learning

Mastering Natural Language Processing (NLP) with Deep Learning Understanding the complex world of natural language processing can be a challenging but essential task in this rapidly growing industry. In this course, Mastering Natural Language Processing (NLP) with Deep Learning, you’ll gain the ability to analyze text data using advanced deep l.
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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!