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Deep Learning courses

487 Courses

California Institute of Technology Udemy

AI & ML Starter Course with No-Code AI Projects [2024]

AI & ML Starter Course with No-Code AI Projects [2024] Embark on a journey to master Artificial Intelligence (AI) and Machine Learning (ML) without the need for coding. This comprehensive course, offered by Udemy, is perfect for beginners eager to dive into the realms of AI and ML through practical, hands-on projects. Unlock the potential of no-cod.
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provider Udemy
pricing Paid Course
duration 1 hour 16 minutes
sessions On-Demand
California Institute of Technology Udemy

Python Numpy Data Analysis for Data Scientist | AI | ML | DL

Event Title: Python Numpy Data Analysis for Data Scientist | AI | ML | DL Description: Master the essentials of data analysis with our comprehensive course on Python Pandas, tailored for Data Science, AI, Machine Learning, and Deep Learning applications. This specialized training, provided by Udemy, empowers you to enhance your data manipulation sk.
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provider Udemy
pricing Paid Course
duration 6 hours 29 minutes
sessions On-Demand
California Institute of Technology Udemy

Master Course : Fundamentals of Machine Learning (101 level)

Title: Master Course: Fundamentals of Machine Learning (101 Level) Description: Dive into the world of AI with our comprehensive course offered on Udemy. This master-level training covers all core concepts including Machine Learning, Supervised and Unsupervised Machine Learning, Deep Learning, and specialized frameworks such as TensorFlow and Keras.
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provider Udemy
pricing Paid Course
duration 1 hour 10 minutes
sessions On-Demand
California Institute of Technology DataCamp

Intermediate Deep Learning with PyTorch

Title: Intermediate Deep Learning with PyTorch Description: Delve into the world of AI and master the use of fundamental deep learning architectures—including CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), and GRUs (Gated Recurrent Units)—to model complex image and sequential data. This cours.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand
California Institute of Technology Coursera

Mining Quality Prediction Using Machine & Deep Learning

Title: Mining Quality Prediction Using Machine & Deep Learning Description: Engage in a comprehensive 1.5-hour project-based course on Coursera, designed to enhance your understanding of both simple and multiple linear regression. Throughout this educational journey, you'll: Grasp the core concepts and principles underlying linear regression. Lea.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Deep Learning with Python and Keras

Understand and build Deep Learning models for images, text and more using Python and Keras
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provider Udemy
pricing Paid Course
duration 9 hours 57 minutes
sessions On-Demand
California Institute of Technology Udemy

Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!
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provider Udemy
pricing Paid Course
duration 19 hours 13 minutes
sessions On-Demand
California Institute of Technology Udemy

Tensorflow and Keras For Neural Networks and Deep Learning

Master the Most Important Deep Learning Frameworks (Tensorflow & Keras) for Python Data Science
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provider Udemy
pricing Paid Course
duration 7 hours 58 minutes
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introducción a AWS DeepLens (Español Latinoamérica) | Introduction to AWS DeepLens (Spanish from Latin America)

Nota: Este curso caducará el 29/11/2023. Si desea completar este curso, hágalo antes de esa fecha. No hay ningún curso de reemplazo en este momento. Este es un curso introductorio sobre AWS DeepLens, la primera cámara de video del mundo habilitada para aprendizaje profundo. En este curso se revisa el hardware del dispositivo, su arquitectura y las.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology Coursera

Machine/Deep Learning for Mining Quality Prediction-Enhanced

In this hands-on project, we will train machine learning and deep learning models to predict the % of Silica Concentrate in the Iron ore concentrate per minute. This project could be practically used in Mining Industry to get the % Silica Concentrate at much faster rate compared to the traditional methods.
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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!