Is image recognition machine learning? The answer is “Yes” image recognition is a part of machine learning. Because of the newest innovation, many companies are reliant on this image recognition. Therefore let’s quickly discuss image recognition.
The Image Recognition
Image recognition is one of the tops in the market nowadays. It seems that many of us and other companies are using image recognition.
Furthermore, image recognition is a computer vision that has artificial intelligence. Therefore it can able to make an accurate decision base on what they see or identify.
Moreover, image recognition with the context of machine vision has the ability of software that can identify :
- Objects
- Places
- People
- Writing
- Images
- Movies
Also, this technology has a combination of a camera and artificial intelligence software.
Furthermore, image recognition has been performing a large number of machine-based visual tasks. Such as:
- Labeling the content of an image with meta-tags
- Performing image content search
- Guiding autonomous robots
- Self-driving car
- Accident avoidance systems
Therefore a software for image recognition requires deep learning.
When it comes to imitating humans ways, the best of it is deep learning because he has to type machine learning and artificial intelligence
The Machine Learning
When we say machine learning it is a sub-area of artificial intelligence. Therefore the term has referred to the ability of information technology (IT) systems so it can autonomously find solutions to problems by recognizing patterns in databases.
So, in other words, machine learning enables the IT systems to recognize patterns based on existing algorithms, data sets, and developing satisfactory solution concepts. Therefore a machine learning is an artificial knowledge that can generate based on experience.
Moreover, for software to operate alone with the generate solution, the previous action of people is a necessary need. Let’s say the required algorithms and data are must be fed into the system.
And also need to explain the respective rules analysis of recognition pattern in the data stock. Therefore when these two steps have been complete, the system can perform the following task:
- Finding, extracting, and summarizing data
- Making prediction based on the analysis data
- Calculating probabilities for specific results
- Adapting to certain development autonomously
- Optimizing processes base on recognized patterns
How does It work For Image Recognition Machine Learning?
When comes to human eyes it can see an image as a set of signals, interpreted by the brain’s visual cortex. The outcome of the experience scene is a link to the object and ideas that are remembered in human memory.
Therefore image recognition is based on deep learning. Deep learning is a subcategory of machine learning that refers to a set of automatic learning techniques and technologies base on artificial neural networks.
Moreover, the artificial neural network is similar to a human neural network. However, an artificial neuron is a mathematical function.
Furthermore, each network consists of several layers of neurons that can influence each other. Therefore the complexity of the architecture and structure of the neural network will depend on the type of information required.
