Machine learning is a subfield within artificial intelligence that deals with computer algorithms that can improve themselves via training data without explicit programming. It’s widely considered the most promising path for achieving true human-like artificial intelligence.
Machine-learning algorithms can be broadly classified into three categories:
In this article, we’ll give a brief overview of machine learning and deep learning, and the differences between the two concepts.
Deep learning is a branch of machine learning that uses artificial neural networks to approximate human-like intelligence. Inspired by human neurons, deep learning uses graph theory to arrange weighting algorithms into layers of nodes and edges. Deep-learning algorithms are great at processing unstructured data such as images or language.
Technically, to be classified as “deep,” a neural network must contain hidden layers between the input and output layers of a perceptron—the base structure of a neural network. These layers are considered “hidden” because they have no connection to the outside world. Examples of deep-learning architectures include:
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Deep learning is considered a subset of machine learning. The main differentiator that distinguishes deep-learning algorithms from other machine-learning algorithms is the use of artificial neural networks. And the main feature that makes a neural network “deep” is the presence of hidden layers between the input and output layers that make up a basic perceptron.
Deep-learning algorithms are great at processing unstructured data, provided you have the processing power to do so. This gives deep learning an advantage over other machine-learning algorithms when it comes to unsupervised and reinforcement learning. Recent advances in AI owe a lot to the increase in the viability of deep-learning neural networks thanks to improvements in processing power and data storage.
Pure Storage® is uniquely positioned to both leverage and support the world of AI. Deep-learning neural networks require data that is both big and fast. Pure’s all-flash storage solutions combine the performance of 100% NVMe flash memory with AI-powered predictive analytics to deliver a Modern Data Experience™. With Pure, you can:
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