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Deep Learning courses

636 Courses

California Institute of Technology DataCamp

Deep Learning with PyTorch

Title: Deep Learning with PyTorch Description: Dive into the world of Artificial Intelligence with our comprehensive course on Deep Learning using PyTorch, presented by DataCamp. This engaging course is designed for individuals eager to master deep learning techniques and apply them using the PyTorch framework. From learning basic neural network co.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand
California Institute of Technology Skillshare

Deep Learning and Neural Networks with Python

Embark on a transformative journey into the realms of deep learning, artificial intelligence, and artificial neural networks with our comprehensive course, tailored for individuals with prior Python experience. Master the essentials and beyond in this dynamic field, designed to demystify the complex technologies that are shaping our future. This en.
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provider Skillshare
pricing Free Trial Available
duration 4 hours 24 minutes
sessions On-Demand
California Institute of Technology Udemy

Python For Beginners

Join our "Python for Beginners" course, tailor-made for enthusiasts diving into the realms of Data Science, AI, ML, DL, and more. This introductory program, available on Udemy, focuses exclusively on the fundamentals of Python, setting a strong foundation for future exploration in various tech fields. Ideal for beginners, this course serves as a st.
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provider Udemy
pricing Free Online Course
duration 3 hours 55 minutes
sessions On-Demand
California Institute of Technology Stanford University

Stanford CS330: Deep Multi-Task and Meta Learning

Stanford CS330: Deep Multi-Task and Meta Learning Stanford CS330: Deep Multi-Task and Meta Learning Embark on an 18-hour educational journey with Stanford University’s comprehensive course that delves into the forefront of multi-task and meta-learning within the sphere of artificial intelligence. This course begins with an introduction and b.
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California Institute of Technology Stanford University

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks Explore a Stanford seminar on persistent and unforgeable watermarks for deep neural networks. Delve into the increasing popularity of DNNs, their training challenges, and the importance of IP protection for model owners. Learn about various watermarking techniques,.
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California Institute of Technology Coursera

GenAI for Data Scientists

GenAI for Data Scientists GenAI for Data Scientists is tailored for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course simplifies the complex realm of GenAI, illustrating its remarkable impact on data analysis, predictive modeling, and more. You will gain a thorough understanding o.
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California Institute of Technology Waseda University

Deep Learning for Bioscientists

Elevate your research with deep learning Deep learning, a popular branch of machine learning, enables computers to process data like the human brain, using similar approaches to how we believe our brains process information, to help with solving complex problems and generating highly accurate insights. On this five-week course, you’ll develop esse.
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California Institute of Technology edX

IA para todos: domina los conceptos básicos

En este MOOC, aprenderás qué es la IA y comprenderás sus aplicaciones y casos de uso y cómo está transformando nuestras vidas. Explorarás los conceptos básicos de la IA, como el aprendizaje automático, el aprendizaje profundo y las redes neuronales, así como los casos de uso y las aplicaciones de la IA. Estarás expuesto a las preocupaciones que r.
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California Institute of Technology AWS Skill Builder

AWS ML Engineer Associate Curriculum Overview (Japanese)

AWS ML Engineer Associate Curriculum のこの入門コースでは、機械学習 (ML) の基礎を復習し、ML と AI の進化について確認します。ML ライフサイクルの最初のステップとして、ビジネス目標を特定し、そのビジネス目標に基づいて ML の問題を定式化します。最後に、ML モデルの構築、トレーニング、デプロイに使用できるフルマネージド型 AWS サービスである Amazon SageMak.
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California Institute of Technology AWS Skill Builder

AWS ML Visão geral do curso de engenheiro associado (Português) | AWS ML Engineer Associate Curriculum Overview (Portuguese)

Neste curso introdutório à grade curricular de engenheiros de ML associados da AWS, você analisa os conceitos básicos de machine learning (ML) e examina a evolução do machine learning e da IA. Você explora as primeiras etapas do ciclo de vida do ML, identificando uma meta de negócios e formulando um problema de ML com base nessa meta de negócios. F.
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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!