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Deep Learning courses

591 Courses

California Institute of Technology Coursera

Sentiment Analysis with Deep Learning using BERT

Join our comprehensive workshop, "Sentiment Analysis with Deep Learning using BERT," and embark on a 2-hour project-based learning journey. This course is tailored to equip you with the expertise to perform sentiment analysis on a dataset effectively. Discover how to import a PyTorch BERT model and fine-tune its architecture for multi-class classif.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Facial Expression Classification Using Residual Neural Nets

Join our hands-on project titled "Facial Expression Classification Using Residual Neural Nets" offered through Coursera, where we delve into the advanced realms of Deep Learning, specifically focusing on Convolutional Neural Networks (CNNs) and Residual Blocks, to master the art of detecting facial expressions. This cutting-edge project is ideal fo.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Emotion AI: Facial Key-points Detection

Embark on a captivating journey into the world of AI with our project-based course, "Emotion AI: Facial Key-points Detection". This comprehensive 1-hour course is designed for individuals eager to dive deep into the fascinating realms of Deep Learning, Convolutional Neural Networks (CNNs), and Residual Neural Networks. Offered on Coursera, this cou.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Generating New Recipes using GPT-2

Discover the art of creating unique recipes with the power of AI in our latest course, "Generating New Recipes using GPT-2", offered exclusively on Coursera. This immersive 2-hour project is designed to introduce you to the fundamentals of preprocessing a text dataset filled with various recipes. You'll divide your dataset into training and validat.
course image
provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Explainable AI: Scene Classification and GradCam Visualization

Join us for a meticulously crafted 2-hour, hands-on project on Explainable AI: Scene Classification and GradCam Visualization, presented by Coursera. This immersive experience will take you through the process of training a cutting-edge deep learning model capable of identifying various types of scenery in images. Beyond mere classification, this p.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera  Specialization

Generative Adversarial Networks (GANs)

Discover the transformative power of Generative Adversarial Networks (GANs) through the DeepLearning.AI Generative Adversarial Networks Specialization, now available on Coursera. GANs, a groundbreaking machine learning model, are revolutionizing fields by generating highly realistic images, videos, and voice outputs. With roots in game theory, thei.
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provider Coursera  Specialization
pricing Paid Course
duration 13 weeks, 8 hours a week
California Institute of Technology Coursera

Fine Tune BERT for Text Classification with TensorFlow

Embark on a journey to master text classification with the cutting-edge Bidirectional Transformers for Language Understanding (BERT) leveraging TensorFlow's powerful capabilities. Dive into this comprehensive 2.5-hour guided project, designed to equip you with the skills to preprocess and tokenize data specifically for BERT classification. Gain han.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Natural Language Processing with Deep Learning in Python

Embark on a comprehensive journey through the world of Natural Language Processing (NLP) with this detailed course on Deep Learning in Python. Discover the intricacies of word2vec, GloVe, and word embeddings, unraveling their applications in groundbreaking NLP advances. The course delves deep into sentiment analysis, teaching you how to leverage re.
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provider Udemy
pricing Paid Course
duration 12 hours 2 minutes
sessions On-Demand
California Institute of Technology Udemy

Neural Networks Made Easy

Join our "Neural Networks Made Easy" course on Udemy and dive into the simplicity of neural networks that even your dog could understand! This course is meticulously designed for beginners and covers a broad range of categories including Python, Deep Learning, Neural Networks, NumPy, pandas, and Calculus. Whether you're a student eager to expand yo.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Pluralsight

Getting Started with NLP Deep Learning Using PyTorch and fastai

Embark on your Deep Learning journey in the field of Natural Language Processing (NLP) with our comprehensive course using fastai and PyTorch. This course is designed for those looking to harness the power of NLP Deep Learning with state-of-the-art results in text classification. Utilizing the fastai library atop the robust PyTorch Deep Learning Fr.
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provider Pluralsight
pricing Free Trial Available
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!