摘要: Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. Deep learning eliminates [消除] some of data pre-processing that is typically involved with machine learning. For example, let's say that we had a set of photos of differen...
According to Andrew, the core of deep learning is the availability of modern computational power and the vast amount of available data to actually train large neural networks. When discussing why now is the time that deep learning is taking off at ExtractConf 2015 in a talk titled “What data...
Shallow neural networks are fast and require less processing power than deep neural networks, but they cannot perform as many complex tasks as deep neural networks. Below is an incomplete list of the types of neural networks that may be used today: Perceptron neural networks are simple, shallow...
根据第二段前两句 “When reading texts of several hundred words or more, learning is generally more successful when it's on paper than onscreen. A large amount of research confirms this finding.”可知,在 阅读几百字或更多字的文本时,纸质阅读比屏幕阅读的 学习效果更好,大量的研究已经证实了这一...
Deep learning, in turn, is a subset of machine learning, whose capabilities differ in several key respects from traditional shallow machine learning, allowing computers to solve a host of complex problems that couldn't otherwise be tackled. ...
What is a teacher? Well, a teacher is someone who teaches. But I didn't realize this idea was too shallow(肤浅的) until I met my music teacher. When I first arrived at my music class at school, I had almost no knowledge of how to play the flute(长笛). I failed to get the ba...
Learn what artificial intelligence (AI) is and how it works, explore the different types of AI, see examples of AI, and discover the benefits of AI.
“and yet they were the places where we saw the richest learning happening.” In these spaces, much of what they call the “grammar” of school is different: Students are there by choice, they have opportunities for apprenticeship and leadership, they can specialize in a subdomain of the ...
As is typical in machine learning, there doesn’t seem to be any simple characterization of the form of the basin of attraction. But now we have a sense of what the reason for this is: it’s another consequence of computational irreducibility. Computational irreducibility gi...
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. If you are just starting out in the field of deep learning or you had some experience with neural networks some time ago, you may be...