Artificial Intelligence (AI) is any technique that aims to enable computers to mimic human behavior, including machine learning, natural language processing (NLP), language synthesis, computer vision, robotics, sensor analysis, optimization and simulation.
In AI research, Machine Learning has achieved significant success in recent years – allowing computers to surpass or get close to incorporating human performance in some fields from facial recognition to voice recognition and language.
Machine Learning is the process of teaching a computer to perform a task, instead of programming it how to perform that task step by step.
Deep Learning is a subset of Machine Learning which is different in some key aspects compared to traditional “Shallow Learning”. Deep Learning allows computers to solve a variety of complex problems that Common Machine Learning cannot be solved.
Deep Learning focuses on solving problems related to Artificial Neural Networks in order to upgrade technologies such as speech recognition, computer vision, and natural language processing. Deep learning is becoming one of the most popular fields in computer science. In just a few years, Deep learning has been making progress in a variety of areas such as object perception, machine translation, voice recognition, and so on which used to be complicated problems for AI researchers.
Deep Learning has been deployed for many industries including autonomous cars, medical diagnostics, computing, speech recognition and intellectual applications. Like Machine Learning algorithms, Deep Learning is also based on complex algorithms and statistical methods. Artificial Neural Network (ANN), Convolutional Neural Networks(CNN) và Recurrent Neutral Network (RNN) are applications of modern Deep Learning – these networks simulate similar neural networks of humans. Each type of neural network is arranged with complex use cases, such as classification, clustering and prediction. For example, CNN is used for image recognition and facial recognition, while RNN is used for Natural Language Processing. ANN, which is a simpler network, is often used to make predictions when it comes to a huge amount of data.