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Deep Learning courses

487 Courses

California Institute of Technology Udemy

Deep Learning with Google Colab

Event Title: Deep Learning with Google Colab Description: Master the art of implementing and training deep learning models using the powerful and free integrated environment provided by Google Colab. This course is offered through Udemy and is ideal for those interested in advancing their skills in artificial intelligence. Provider: Udemy Categorie.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand
California Institute of Technology Coursera

Detect Fake News in Python with Tensorflow

Join our comprehensive online course, "Detect Fake News in Python with TensorFlow," offered through Coursera. This course dives deep into the rampant issue of "fake news," which refers to news stories lacking factual evidence or based on outright falsehoods. Such stories can range from harmful propaganda to click-bait articles written for financial.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera  Professional Certificate

IBM Machine Learning

Embark on a transformative journey towards a Machine Learning career with IBM's Professional Certificate program offered through Coursera. Designed to make you job-ready in less than three months, this comprehensive program equips you with essential skills in AI and Machine Learning. Understand the complexity of algorithms and statistical models th.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 43 weeks, 3 hours a week
California Institute of Technology Udemy

PyTorch for Deep Learning Bootcamp

Event Title: PyTorch for Deep Learning Bootcamp Description: Embark on your journey to becoming a Deep Learning Engineer with our intensive bootcamp on PyTorch. This comprehensive course, provided by Udemy, is designed for both beginners and experienced professionals who want to deepen their knowledge of deep learning frameworks. By the end of the.
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provider Udemy
pricing Paid Course
duration 2 days 4 hours 14 minutes
sessions On-Demand
California Institute of Technology DataCamp

Understanding Machine Learning

Title: Understanding Machine Learning Description: Dive into the world of machine learning without the complexity of coding. Curious about the buzz around machine elegance learning and its capabilities? This beginner-friendly course requires no prior coding experience and offers hands-on exercises to demystify the jargon associated with this transf.
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provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand
California Institute of Technology DataCamp

Introduction to Deep Learning in Python

Title: Introduction to Deep Learning in Python Description: Embark on your journey through the dynamic field of deep learning in this comprehensive course. You'll start by understanding the core principles of neural networks, and gradually move onto building your own deep learning models utilizing Keras 2.0, the newest version of the powerful libra.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand
California Institute of Technology Udemy

A Complete Guide on TensorFlow 2.0 using Keras API

Title: A Complete Guide on TensorFlow 2.0 using Keras API Description: Dive into the world of Deep Learning and Artificial Intelligence with our comprehensive course on TensorFlow 2.0, featuring the intuitive Keras API. This course, provided by Udemy, is tailored to help you build cutting-edge applications in various domains. Whether you're a begin.
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provider Udemy
pricing Paid Course
duration 13 hours
sessions On-Demand
California Institute of Technology Udemy

Deep Learning Prerequisites: Logistic Regression in Python

Deep Learning Prervations: Logistic Regression in Python Explore the pivotal foundations of data science, machine learning, and artificial intelligence with this engaging course on Udemy. Designed for both students and professionals keen on advancing their knowledge in Python, this course falls under the categories of Deep Learning, Data Science, a.
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provider Udemy
pricing Paid Course
duration 6 hours 50 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning & Deep Learning in Python & R

Machine Learning & Deep Learning in Python & R Delve into the realms of Machine Learning and Deep Learning with this comprehensive course provided by Udemy. Master essential techniques such as Regression, Decision Trees, Support Vector Machines (SVM), Neural Networks, Convolutional Neural Networks (CNN), and Time Series Forecasting using both Pytho.
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provider Udemy
pricing Paid Course
duration 1 day 9 hours 12 minutes
sessions On-Demand
California Institute of Technology FutureLearn

Deep Learning on Azure with Python: Reinforcement Learning

Explore the dynamic world of machine learning with the "Deep Learning on Azure with Python: Reinforcement Learning" course offered by FutureLearn. This comprehensive course delves into the intricacies of reinforcement learning, a subset of artificial intelligence that is crucial for solving complex, multilevel problems through a series of decisions.
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provider FutureLearn
pricing Paid Course
duration 6 weeks, 5 hours a week
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!