Deep Learning courses

591 Courses

Pluralsight

AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML

Embark on a journey through the transformative world of Artificial Intelligence and Machine Learning with the AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML course. This comprehensive program will equip you with the foundational knowledge required to excel in the AWS Certified AI Practitioner exam. Core Concepts and Found.

Udemy

Introduction to Artificial Neural Network and Deep Learning

Unlock the potential of artificial neural networks and deep learning with our comprehensive course on Udemy. Delve into the best machine learning techniques specifically tailored for data science, with practical applications in image recognition using Java and the Neuroph framework. Perfect for aspiring data scientists and developers eager t.

Udemy

Artificial Intelligence III - Deep Learning in Java

Embark on an in-depth journey into the world of Artificial Intelligence with the "Artificial Intelligence III - Deep Learning in Java" course by Udemy. Dive into core concepts of deep learning, including Deep Learning Fundamentals, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) along with advanced topics like LSTM.

Udemy

Neural Networks in Python from Scratch: Complete guide

Embark on a complete journey to understand neural networks with our course "Neural Networks in Python from Scratch." Dive into the world of Deep Learning, learning to build neural networks with Python from the ground up. Gain insights into both theory and hands-on practice, providing you with a robust understanding of deep learning methodol.

Udemy

YOLO: Automatic License Plate Detection & Extract text App

Udemy Embark on a journey to develop a cutting-edge License Plate Detection and Text Extraction Application. This course will guide you through the intricacies of Object Detection using YOLO, mastering Optical Character Recognition (OCR), and crafting a fully functional web application with Flask. Designed for enthusiasts of Artificial Intellig.

Udemy

Deep learning for object detection using Tensorflow 2

Immerse yourself in the field of deep learning and object detection with our expertly crafted course, "Deep Learning for Object Detection using TensorFlow 2". This comprehensive program is designed to provide participants with a solid understanding of how to train and evaluate three advanced models: Faster RCNN, SSD, and YOLO v3, utilizing Te.

Udemy

Automotive Camera [Apply Computer vision, Deep learning] - 1

Enhance your skills in autonomous driving technologies through the Automotive Camera course on Udemy. This program leverages computer vision and deep learning to delve into advanced topics like ADAS, image formation, calibration, object detection, classification, and multi-object tracking using Python. Perfect for those eager to excel in the f.

Coursera

Oracle Cloud Infrastructure AI Foundations

Join the Oracle Cloud Infrastructure AI Foundations course and dive into the world of AI. This course offers an in-depth introduction to key concepts in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Specifically designed for those new to the field, it emphasizes practical applications of these technologies withi.

Udemy

PyTorch Tutorial - Neural Networks & Deep Learning in Python

Johns Hopkins University

Advanced Neural Network Techniques

Join the 'Advanced Neural Network Techniques' course and delve into the world of sophisticated neural network methodologies. This comprehensive program provides learners with an in-depth understanding of cutting-edge techniques like Recurrent Neural Networks (RNNs), Autoencoders, Generative Neural Networks, and Deep Reinforcement Learning. Offe.

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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:

Face recognition by the DeepFace system is about 97%, and this result is about the same as that of the average person.

Imitation of human speech by the WaveNet system. This is not reading the text, but composing sentences with accents, without errors in stress and without unnatural pauses.

Making medical diagnoses. For example, determining diabetic retinopathy from photographs of the eyes. The technology is already being used in US medical institutions.

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:

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.

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.

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.

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!