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Deep Learning courses

487 Courses

California Institute of Technology Stanford University

Stanford Seminar - Deep Learning for Medical Diagnoses

Stanford Seminar - Deep Learning for Medical Diagnoses This course aims to teach learners about the application of deep learning in medical diagnoses. The learning outcomes include understanding traditional clinical diagnostic procedures, utilizing machine learning frameworks, detecting abnormalities in medical images such as X-rays, interpret.
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provider YouTube
pricing Free Online Course
duration 57 minutes
sessions On-Demand
California Institute of Technology

Applied Deep Learning Capstone Project

Applied Deep Learning Capstone Project Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable, and digital credential that profiles the knowledge and skills acquired in this course. Enroll to learn more, complete the course, and claim your badge! In this capstone project, you'll use a De.
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California Institute of Technology DataCamp

Data Science for Business

Data Science for Business Learn about data science for managers and businesses and how to use data to strengthen your organization. What is data science and how can you use it to enhance your organization? This course will teach you about the skills you need on your data team and how to structure that team to meet your organization's unique ne.
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provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand
California Institute of Technology Delft University of Technology

AI in Architectural Design

AI in Architectural Design Are you navigating through the maze of AI discussions in everyday conversations? Do you feel overwhelmed and find it challenging to keep up with the constant flow of AI news? Or perhaps you are enthusiastic about AI and its transformative power in design practices. This course will shed light on the science behind the.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-4 hours a week
sessions On-Demand
California Institute of Technology Coursera

Réseaux neuronaux et Deep Learning

Vous souhaitez vous lancer dans l’IA de pointe ? Ce cours est là pour vous y aider. Les ingénieurs en Deep Learning sont très convoités et la maîtrise de ce domaine vous ouvrira de nombreuses opportunités professionnelles. Le Deep Learning est également un nouveau « superpouvoir » qui vous permettra de développer des systèmes d’IA qui n’étaient.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand
California Institute of Technology

【世界で55万人が受講】データサイエンティストを目指すあなたへ〜データサイエンス25時間ブートキャンプ〜

【世界で55万人が受講】データサイエンティストを目指すあなたへ〜データサイエンス25時間ブートキャンプ〜 機械学習・ディープラーニング・人工知能に関するビジネス上の課題を、回帰分析・ニューラルネットワーク・K平均法等を使って解いていきます。python、jupyter、numpy、pandas、tensorflow等のスキルも身に付きます。 カテゴリ:人工知能コース, Pythonコース, 機械学.
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California Institute of Technology Udemy

Deep Learning, Neuronale Netze und TensorFlow in Python

Deep Learning, Neuronale Netze und TensorFlow in Python Werde zum Deep Learning Experten: Mathematik & Praxis für Neural Networks mit Keras. [2024 Edition] University: University Provider: Udemy Categories: Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Neural Networks Courses, TensorFlow Courses, Image Recogni.
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provider Udemy
pricing Paid Course
duration 16 hours 15 minutes
sessions On-Demand
California Institute of Technology Coursera  Specialization

Advanced Data Science with IBM

Advanced Data Science with IBM As a Coursera certified specialization completer, you will demonstrate a deep understanding of massive parallel data processing, data exploration and visualization, along with advanced machine learning and deep learning. You will grasp the mathematical foundations behind all machine learning and deep learning algori.
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provider Coursera  Specialization
pricing Paid Course
duration 17 weeks, 5 hours a week
California Institute of Technology Coursera

TensorFlow for AI: Get to Know Tensorflow

TensorFlow for AI: Get to Know TensorFlow This guided project course is part of the "TensorFlow for AI" series, and it builds on the foundational DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera. This series helps learners reinforce their skills and develop more TensorFlow-based projects. In this 1-hour project-.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology

Deep Learning with TensorFlow 2.0

Deep Learning with TensorFlow 2.0 Embark on a transformative journey into the realm of deep learning by leveraging TensorFlow 2.0. This course is designed to equip you with the skills needed to build cutting-edge deep learning algorithms, dive deep into the intricacies of neural networks, and apply this knowledge effectivel.
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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!