Supervised deep learning relies on tagged data. In this kind of deep learning, you feed the data model a lot of different data and tell the model what it is.

Machine Learning Specialization. This specialization, created in collaboration with Stanford Online and DeepLearning.AI, is a three-course program covering supervised learning (linear regression ...

Artificial intelligence (AI) and machine learning (ML) are transforming our world. When it comes to these concepts there are important differences between supervised and unsupervised learning ...

Unsupervised deep learning methods have seen significant progress in the last few years, with their performance fast approaching their supervised counterparts on the ImageNet challenge. Once you know ...

The brittleness of deep learning systems is largely due to machine learning models being based on the “independent and identically distributed” (i.i.d.) assumption, which supposes that real ...

In supervised learning, the most prevalent, the data is labeled to tell the machine exactly what patterns it should look for. Think of it as something like a sniffer dog that will hunt down ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

One of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction. In this ...