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Deep Learning courses

371 Courses

California Institute of Technology Udemy

Convolutional Neural Networks: Deep Learning

Embark on a comprehensive learning journey with our specialized Convolutional Neural Networks: Deep Learning course. Offered through Udemy, this program is meticulously designed for individuals eager to delve deep into the mechanics of CNN and leverage Python for hands-on projects. Whether you're interested in Python Courses, Deep Learning Courses,.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Generative AI: Foundation Models and Platforms

Explore the transformative world of generative AI with our comprehensive course on "Generative AI: Foundation Models and Platforms", brought to you in collaboration with Coursera. Designed for both enthusiasts and seasoned practitioners, this course delves into the core concepts, models, and platforms that define the fast-evolving landscape of gene.
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provider Coursera
pricing Free Online Course (Audit)
duration 6-7 hours
sessions On-Demand
California Institute of Technology Coursera

AI For Medical Treatment

Discover how AI is revolutionizing medical practice with the "AI For Medical Treatment" specialization on Coursera. This transformative series of courses delves into how artificial intelligence (AI) is enhancing the accuracy of diagnoses, predicting patient health outcomes, and crafting tailored treatment plans. Designed to offer hands-on experienc.
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provider Coursera
pricing Free Online Course (Audit)
duration 22 hours
sessions On-Demand
California Institute of Technology Independent

Deep Learning Summer School

Discover the cutting-edge advancements in AI and machine learning at the Deep Learning Summer School. Perfect for graduate students and professionals with a foundational understanding of machine learning, this program dives deep into the world of deep neural networks. Learn how these networks have revolutionized speech recognition, object recogniti.
provider Independent
pricing Free Online Course
sessions On-Demand
California Institute of Technology Udacity

Secure and Private AI

Discover how to navigate the critical intersection of AI and privacy with our enlightening course on Secure and Private AI. In an era where the analysis of sensitive data, from predicting cancer survival rates to evaluating educational success, demands not only innovative methodologies but also stringent privacy measures, understanding how to acces.
provider Udacity
pricing Free Online Course
duration 8 weeks
sessions On-Demand
California Institute of Technology Coursera

AI Capstone Project with Deep Learning

Embark on a transformative journey with the AI Capstone Project with Deep Learning course, offered exclusively on Coursera. This pinnacle program is meticulously designed for those who wish to leverage their deep learning acumen by tackling a real-world challenge head-on. Participants will have the freedom to select their preferred library—as Keras.
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provider Coursera
pricing Free Online Course (Audit)
duration 16 hours
sessions On-Demand
California Institute of Technology Coursera

Sentiment Analysis with Deep Learning using BERT

Join our comprehensive workshop, "Sentiment Analysis with Deep Learning using BERT," and embark on a 2-hour project-based learning journey. This course is tailored to equip you with the expertise to perform sentiment analysis on a dataset effectively. Discover how to import a PyTorch BERT model and fine-tune its architecture for multi-class classif.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Facial Expression Classification Using Residual Neural Nets

Join our hands-on project titled "Facial Expression Classification Using Residual Neural Nets" offered through Coursera, where we delve into the advanced realms of Deep Learning, specifically focusing on Convolutional Neural Networks (CNNs) and Residual Blocks, to master the art of detecting facial expressions. This cutting-edge project is ideal fo.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Emotion AI: Facial Key-points Detection

Embark on a captivating journey into the world of AI with our project-based course, "Emotion AI: Facial Key-points Detection". This comprehensive 1-hour course is designed for individuals eager to dive deep into the fascinating realms of Deep Learning, Convolutional Neural Networks (CNNs), and Residual Neural Networks. Offered on Coursera, this cou.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Generating New Recipes using GPT-2

Discover the art of creating unique recipes with the power of AI in our latest course, "Generating New Recipes using GPT-2", offered exclusively on Coursera. This immersive 2-hour project is designed to introduce you to the fundamentals of preprocessing a text dataset filled with various recipes. You'll divide your dataset into training and validat.
course image
provider Coursera
pricing Paid Course
duration 2-3 hours
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!