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Deep Learning courses

487 Courses

California Institute of Technology Udemy

Data Science: Deep Learning Project for Self Driving Cars

Embark on an exciting journey into the future of autonomous vehicles with our comprehensive course offered on Udemy - "Data Science: Deep Learning Project for Self Driving Cars". Dive into the practical world of deep learning, specifically focusing on convolutional neural networks, and master the art of classifying traffic sign images for self-driv.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Data Balancing with Gen AI: Credit Card Fraud Detection

Discover the power of Generative AI in combating credit card fraud with our 2-hour guided project titled "Data Balancing with Gen AI: Credit Card Fraud Detection". Offered by Coursera, this project is in collaboration with SecureTrust Financial Services, aiming to showcase how Generative Adversarial Networks (GANs) can be used to generate synthetic.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

OpenVINO Beginner: Building a Crossroad AI Camera

Embark on a journey to master AI camera development with our "OpenVINO Beginner: Building a Crossroad AI Camera" course, exclusively on Coursera. This comprehensive 2-hour project-based tutorial is designed for beginners eager to delve into the realm of artificial intelligence and computer vision. In this course, you'll undertake a series of tasks,.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Pluralsight

Literacy Essentials : Core Concepts Convolutional Neural Network

Unlock the secrets of visual data interpretation with "Literacy Essentials: Core Concepts Convolutional Neural Network", a comprehensive course brought to you by Pluralsight. This meticulously designed course offers a deep dive into the world of Convolutional Neural Networks (CNNs), which are at the forefront of giving computers an almost human-lik.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 7 minutes
sessions On-Demand
California Institute of Technology Coursera

Object Detection Using Facebook's Detectron2

Unlock the potential of deep learning in object detection with this comprehensive 2-hour course on Coursera, focused on utilizing Facebook's Detectron2. Whether you're aiming to identify English or Hindi texts, this course provides a foundation to extend your skills to various use cases. Engage in a full cycle of model development and evaluation,.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Codecademy

Text Generation

Join our comprehensive course, Text Generation, presented by Codecademy, and dive into the fascinating world of Natural Language Processing (NLP). This course is meticulously designed for those eager to explore the cutting-edge techniques of seq2seq and LSTM neural networks, which are essential for any NLP work. Whether you are intrigued by the ide.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand
California Institute of Technology Udemy

Deep Learning: Convolutional Neural Networks for developers

Embark on a transformative learning journey with "Deep Learning: Convolutional Neural Networks for Developers," offered by Udemy. This meticulously designed course caters specifically to developers eager to master Deep Learning, with a concentrated focus on the intricacies of Convolutional Neural Networks (CNN) architectures. Whether you're looking.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Pluralsight

Implement Image Captioning with Recurrent Neural Networks

Unlock the power of machine learning with our comprehensive course on "Implementing Image Captioning with Recurrent Neural Networks," brought to you by Pluralsight. Dive into the fascinating world of image captioning models and gain hands-on experience in building and training these models using the cutting-edge TensorFlow framework. This course is.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 34 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Implement Natural Language Processing for Word Embedding

Embark on a journey to master Natural Language Processing (NLP) with our comprehensive course, "Implement Natural Language Processing for Word Embedding," brought to you by Pluralsight. This course is tailored to teach you the intricacies of leveraging word embeddings through deep learning to advance your NLP capabilities. NLP is a revolutionary se.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 34 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Data Literacy Essentials: Conversation AI

Discover the world of Conversation AI and empower your understanding with the "Data Literacy Essentials: Conversation AI" course. Perfect for beginners and seasoned professionals alike, this comprehensive course dives into the functionalities and real-world applications of Conversation AI. Explore the intricacies of Google's DialogFlow, a leading c.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 26 minutes
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!