quality final results. Can reduce operational costs. Can manipulate data more effectively. Examples of the application of deep learning. Well, now let’s discuss other applications. Here are some applications:Image recognition the face unlock feature on smartphones, and the Google Photo application which can detect faces. Getting to Know Deep Learning More Clearly- end To add other abilities, also check out the following articles: 7 Practical Steps to Start a Career as a Machine Learning Developer Machine Learning Developers and Efforts to Suppress Covid-19 What is Machine Learning? Along with its meaning and how it works Human voices and can provide responses in the form of text.
Apart from that this technology
Example in the Google Assistant or Apple Siri applications. Natural language processing NLP is a subfield of Artificial Intelligence (AI) for analyzing, modeling and understanding human language. Objects in images and videos. Examples include the feature to tag someone in a photo on social media, Intelligent application that involves natural language. It is an important whatsapp data component in various software applications that we use in everyday life. Examples of applications of deep learning in the NLP field include machine translation, digital assistants, search engines, customer service and chatbots. Anomaly detection Anomaly detection is a stage for identifying patterns that are irregular or do not match the predicted behavior.
An anomaly can be defined
As an abnormal behavior or pattern and can be a sign of an error in the system. This technology has various uses, including predicting errors that occur in the system, health monitoring, and fraud detection. How interesting, right? It is a subfield of machine learning whose algorithms are. Inspired by the structure Calling List of the human brain. This structure is called Artificial Neural Networks or abbreviated as ANN. Deep learning consists of several algorithms and is an important technology for various products or services that we use every day. That’s all for this article, hopefully this article can be a source of knowledge for you. Look forward to the next article.
