Deep Learning

In machine learning field, "Deep Learning" algorithm is probably the most heard term in recent years. It has been highlighted as one of the most promising technologies by many scientists. In the computer vision area, it has out performed many traditional computer vision techniques. We are going to get familiar with many new vocabularies and concepts by watching some well presented video tutorials. Here is a short one explaining to you "How does deep learning work?" Enjoy it!

Artificial Neural Network

In machine learning, the Artificial Neural Network (ANN) plays an important role. Though fully understanding the human brain is still the holy grail in the scientific community, it does not stop people from creating brain-like structures, and emulating/simulating the brain to perform brain-like functions. There are many different Neural Network (NN) architectures had been proposed and investigated over the past few decades, and many of them had found their applications in specific real-world problems. Watch the following TEDx Talks video to see how a teenage girl used a neural network to solve a

challenging real-world problem. 

Machine Learning

Machine learning is a branch of artificial intelligence (AI). It is the science of getting computers to act without being explicitly programmed. Computers will automatically learn and improve with experience. In the past two decades, machine learning has gradually changed our lives, and given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning algorithms have potential to create computers which can out-perform human in many areas. It is not only a new technology, it has potential to impact human society in a revolutionary way. Please watch the TED Talks video from data scientist Jeremy Howard, and welcome to the age of machine learning!