Where can we learn about AI deep learning?

Deep learning: A technology that enables machine learning.

Deep learning is not a stand-alone learning method, and it uses both supervised and unsupervised learning methods to train deep neural networks. However, due to the rapid development of this field in recent years, some unique learning methods have been proposed one after another (such as residual networks), so more and more people regard it as a learning method alone.

The original deep learning was a learning process that used deep neural networks to solve feature expressions. Deep neural networks are not a new concept in themselves, and can be broadly understood as a neural network structure with multiple hidden layers. In order to improve the training effect of deep neural networks, people have made corresponding adjustments to the connection methods and activation functions of neurons.

In fact, there were many ideas in the early years, but due to the insufficient amount of training data and backward computing power at that time, the final effect was not satisfactory.

Deep learning has done a variety of tasks in a way that makes all of the machine's auxiliary functions possible. Driverless cars, preventative healthcare, and even better movie recommendations are all within reach, or on the verge of being realized.

We have recently launched an AI deep learning course with experts from the Chinese Academy of Sciences, so you can learn about it if you are interested.

Deep learning if the technology is good.

The annual salary of the position is not less than 300,000, and a high annual salary of one million is not a problem.

There are deep learning courses on the market right now.

On the one hand, there are relatively few people, and not many people can have this ability.

Not to mention training others, I don't even have the ability to do projects myself.

On the other hand, there are only a few deep learning courses.

It's basically just one of the subcategories.

Either it will only involve one of image recognition or speech recognition.

Either the things are relatively shallow.

The Institute of Automation, Chinese Academy of Sciences, as one of the earliest researchers in China, researched artificial intelligence.

In terms of deep learning, it is at the forefront.

At present, Zhonggong Education and experts from the Chinese Academy of Sciences jointly develop a deep learning course.

8 core modules, 6 enterprise-level projects, direct positioning capabilities advanced.

After completing the study, you can also obtain a relevant certificate from the Chinese Academy of Sciences.

They cannot be considered equivalent, but they are related.

Artificial intelligence covers the broadest range.

Artificial intelligence encompasses areas such as machine learning, expert systems, and more.

Deep learning is only a part of machine learning, machine learning includes regression, decision trees, neural networks and other algorithms, deep learning is actually a neural network, the meaning of "deep" is to represent a neural network with many hidden layers.

Therefore, from the comparison of coverage, artificial intelligence, machine learning, and deep learning, deep learning is only a very small branch of the large field of artificial intelligence.

Artificial intelligence is a large scope, including search, expert systems and many other sub-fields, deep learning is one of the sub-fields of neural networks is a popular method, refers to a more hierarchical neural network, the lower layer of the network has the ability to unsupervised self-learning features.

Of course, deep learning and artificial intelligence are not a conceptual thing, deep learning is a deeper understanding of a thing, and artificial intelligence refers to the intelligent things created by human beings.

It's not a concept, artificial intelligence includes deep learning, and deep learning is just a small field.

Deep learning is a core technology course for artificial intelligence majors.

Deep learning is a cutting-edge technology in artificial intelligence and is a subset of machine learning research that characterizes data by combining low-level features to form more abstract high-level attributes or category features.

Deep learning brings about a positive cycle of artificial intelligence, which can enable machines to "learn some concepts in the world on their own", that is, machines will have a certain human-like learning and thinking ability. Human beings' own learning ability can help us understand the world on our own, and when the machine simulates the human brain with this ability, it can replace part of our mental work to a certain extent.

Just as we were freed from manual labor under the influence of the Industrial Revolution and the Electric Revolution, we can also outsource mental work to machines under the artificial intelligence revolution brought about by deep learning. If you want to learn more cutting-edge technologies, you can refer to the deep learning course of Optimal Employment.

The deep learning course technology of Zhonggong Education keeps up with the market demand and implements a wide range of fields, not limited to cutting-edge technologies such as speech recognition, image recognition, and machine dialogue, covering 75% of the technical points in the industry, meeting various employment needs and helping to become an outstanding talent in the field of artificial intelligence.

In addition, the course focuses on the practical operation of real enterprise-level projects, and the projects are step-by-step, and the practical operation runs through the theory to help students better master the core skills of artificial intelligence.

Artificial intelligenceIt is a grand vision with the goal of making machines think and act like us humans, including research areas that enhance both our human brain power and our physical strength. And learning is only one of the means to achieve artificial intelligence, and it is only one of the ways to enhance our human brainpower. So, artificial intelligence includes machine learning.

Machine learning, in turn, includes deep learning

Artificial intelligenceMachine learning is a branch of artificial intelligence that studies how computers simulate or implement human learning behaviors in order to acquire new knowledge or skills that enable them to continuously improve their performance.

Deep learningis a method of machine learning that attempts to perform high-level abstraction of data using algorithms that contain complex structures or multiple processing layers (neural networks) consisting of multiple nonlinear transformations.

Artificial intelligence, machine learning, and deep learning.

Artificial intelligence, machine learning, and deep learning.

Reference: Understand what deep learning is in 5 minutes.

The technology that works best with AI right now is deep learning.

Artificial intelligence is a big target, which is to simulate people.

At present, the implementation path is mainly based on machine learning, which is a method of modeling with data to solve problems, and deep learning is a subset of machine learning.