The video uses an example image recognition problem to illustrate how deep learning algorithms learn to classify input images into appropriate categories. Lastly, the video explores the three reasons why deep l
Deep learning vs. machine learning Deep learning and machine learning are often mentioned together but have essential differences. Simply put, deep learning is a type of machine learning. Machine learning models are a form of AI that learns patterns in data to make predictions. Machine learning mo...
Deep learning is a subset of machine learning which is itself a subset of artificial intelligence and statistics. Artificial intelligence research began shortly after World War II [24]. Early work was based on the knowledge of the structure of the brain, propositional logic, and Turing's theory...
Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data.
How Does Deep Learning Work? Deep learning is powered by layers of neural networks, which are algorithms loosely modeled on the way human brains work. Training with large amounts of data is what configures the neurons in the neural network. The result is a deep learning model which, once tr...
Types of deep learning models Deep learning algorithms are incredibly complex, and there are different types of neural networks to address specific problems or datasets. Here are six. Each has its own advantages and they are presented here roughly in the order of their development, with each su...
Unlike the toddler, who takes weeks or even months to understand the concept of dog, a computer program that uses deep learning algorithms can be shown a training set and sort through millions of images, accurately identifying which images have dogs in them, within a few minutes. ...
Types of deep learning models Deep learning algorithms are incredibly complex, and there are different types of neural networks to address specific problems or datasets. Here are six. Each has its own advantages and they are presented here roughly in the order of their development, with each succ...
Natural language processing (NLP): Computers use deep learning algorithms to analyze and gather insights from text data and documents. This can aid in the function of summarizing long documents, indexing key phrases that indicate sentiment (such as positive or negative comments), and generating insig...
These are powered, in part, by deep learning. History Today's World Who Uses It How It Works Next Steps How deep learning works Deep learning changes how you think about representing the problems that you’re solving. With deep learning, data trains the computer, through deep algorithms, to...