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Deep Learning courses

487 Courses

California Institute of Technology Udemy

Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024!

Title: Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024! Description: Dive into the future of computer vision technology in 2024! Join this cutting-edge course offered by Udemy, which covers Next-Gen Computer Vision including YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models, and Transformers. Perfect for stud.
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provider Udemy
pricing Paid Course
duration 1 day 4 hours 25 minutes
sessions On-Demand
California Institute of Technology LinkedIn Learning

Deep Learning: Image Recognition

Discover the world of deep learning with our comprehensive course on designing, building, and deploying deep neural networks for image recognition systems, offered through LinkedIn Learning. This course is tailored for enthusiasts and professionals alike who are eager to dive into the realms of Python, Deep Learning, Neural Networks, TensorFlow, Ke.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning

Recurrent Neural Networks

``` Embark on a journey to decipher the complexities of recurrent neural networks (RNN) with our comprehensive course provided by LinkedIn Learning. Whether you're intrigued by deep learning, long short-term memory (LSTM) mechanisms, or RNNs, this course serves as your primer to not only understand the fundamentals but also to apply them effectivel.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Deep Learning : Computer Vision Beginner to Advanced Pytorch

Embark on a transformative journey from novice to expert in the realm of computer vision with our comprehensive course, available on Udemy. Deepen your understanding of Convolutional Neural Networks (CNNs) and harness the power of Deep Learning using PyTorch and Python. This meticulously designed curriculum is tailored to infuse you with advanced s.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology Codecademy

Language Models in Python: Generative Chatbots

Embark on a journey to master the art of crafting AI chatbots with our advanced course, "Language Models in Python: Generative Chatbots". This comprehensive course is designed to equip you with the skills to create sophisticated generative chatbots using the power of deep learning and Python's seq2seq models. By enrolling, you'll dive deep into the.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand
California Institute of Technology Indian Institute of Technology Guwahati

Deep learning in Electronic Health Records - CDSS 2

Unlock the power of deep learning for healthcare with our dynamic course on "Deep Learning in Electronic Health Records - CDSS" provided by Coursera and hosted by the prestigious Indian Institute of Technology Guwahati. This course delves into the core principles of deep learning, featuring an in-depth examination of its most prevalent architecture.
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provider Coursera
pricing Free Online Course (Audit)
duration 32 hours
sessions On-Demand
California Institute of Technology edX

Deep Learning Essentials

Delve into the world of Deep Learning with a comprehensive online course brought to you by IVADO, Mila, and Université de Montréal. Understand the core principles of Deep Learning, explore the types of problems it can solve, and get acquainted with its fundamental concepts and methods. This course is a collaborative effort between the academic and.
provider edX
pricing Free Online Course (Audit)
duration 5 weeks, 4-6 hours a week
sessions On-Demand
California Institute of Technology Dartmouth College

Foundations of Data Science

Explore the fascinating world of Data Science with the comprehensive course "Foundations of Data Science," offered by Dartmouth College on edX. This course delves into the intricate relationship between Data Science, artificial intelligence (AI), and its crucial components, including statistical learning (SL), machine learning (ML), and deep learni.
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provider edX
pricing Free Online Course (Audit)
duration 7 weeks, 4-5 hours a week
sessions On-Demand
California Institute of Technology Harvard University

Applications of TinyML

Discover the world of Tiny Machine Learning (TinyML) and explore its vast applications with the "Applications of TinyML" course provided by Harvard University through edX. This course, following the Foundations of Tiny ML, delves into how devices like Google Home process commands like “OK Google,” and whether these devices are constantly listening..
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 2-4 hours a week
sessions On-Demand
California Institute of Technology National Chiao Tung University

Master of Machine Learning and Data Science

Embark on a transformative journey towards becoming a leader in the rapidly evolving fields of Machine Learning and Data Science with the prestigious "Master of Machine Learning and Data Science" program. Offered by the renowned National Chiao Tung University and available through Coursera, this comprehensive degree program is meticulously designed.
provider Coursera  Degree
pricing $35,000.00

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!