得到more value from your data with an easy-to-deploy, high-performance data experience, delivering real-time analytics on an all-flash distributed platform.
Unify your hybrid and multi-cloud ecosystems with Pure for effortless private and public cloud data and application mobility that lets you run applications anywhere.
Modernize your private cloud and build seamless multicloud mobility with flexible, effortless, cost-effective storage.
The threat and costs of a data breach can be devastating. It’s time to say good-bye to siloed legacy solutions and introduce your organization to modern data protection.
With millions spent annually to guard entry points to data, many still underestimate the strategic value of augmenting data protection. Pure FlashBlade® delivers solutions to support ransomware recovery.
Forget about expensive upgrade cycles, disruptive downtime, and rebuys of TBs you already own. The Evergreen Storage™ subscription model offers seamless, rapid upgrades and expansion, without disruption.
得到storage as a service (STaaS) for on-premises and public cloud. Efficiently operate a hybrid cloud by unifying your environment with one subscription and one set of storage services.
Government doesn’t have to be slow, especially when you can get the performance and power of the world’s most innovative flash storage solution.
Data is critical to delivering higher quality, integrated care. Implement Pure solutions to achieve efficiencies of care delivery, lower costs, and eliminate data silos and migrations.
Only Pure Storage delivers a modern data experience for MSPs that want to stand out in today’s competitive marketplace.
Deliver storage as a service for containers. Pure Service Orchestrator™ gives developers the agility of public cloud with the reliability and security of on-premises infrastructure.
From entry-level to enterprise applications, accelerate business results with your most critical data. FlashArray//X delivers a modern experience for Tier 0 and Tier 1 workloads.
Pure FlashBlade is the industry's most advanced solution delivering native scale-out file and object storage.
FlashStack™ combines compute, network, and storage to provide a modern infrastructure platform for business-critical applications, DevOps, and analytics. IDC calculates organizations can achieve ROI of 431% over five years.
逃避遗留基础设施复杂的极限ities and DIY solutions. Get the time-to-insight that data-driven innovators need from AIRI®, the industry’s first, full-stack AI-ready infrastructure.
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Pure1® changes everything, giving you workload and capacity planning, analytics, tech support, and more. Experience self-driving storage with full-stack, AI-powered data-storage management and monitoring.
Purity gives you the agility you need. Pure Storage is committed to making every bit of your organization's data available—in the most insightful way possible—so you can take informed action.
Forget about expensive upgrade cycles, disruptive downtime, and rebuys of TBs you already own. The Evergreen Storage™ subscription model offers seamless, rapid upgrades and expansion, without disruption.
Embrace the future of cloud and data flexibility with the Modern Data Experience.
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向前迈进的一步。是你。爱游戏ayx双赢彩票纯粹的存储是我们中方ld the future. It’s where we change industries. It’s where we don’t question the status quo, we erase it.
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Find and register for upcoming webinars and search our catalog of on-demand content to enhance your knowledge of storage, data management, and Pure technology.
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了解现代数据存储的一切,从flash to hybrid cloud, QLC, and beyond.
Our channel partners have the technology and solutions to drive faster, smarter, and more innovative business, helping customers achieve results that were previously unimaginable.
Pure's TAP Program enables leading vendors to build pre-tested joint solutions that span AI, analytics, cloud, modern data protection, and much more.
Pure works with innovative managed service providers to simplify and power infrastructure, hybrid and multicloud solutions, and complex IT services.
Fundamentals of Machine Learning and Deep Learning
What Is Machine Learning?
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:
- Supervised learning: You provide labels and present example inputs with their desired outputs and allow the algorithm to learn the rules that map inputs to outputs.
- Unsupervised learning: You don’t provide any labels, so the algorithm is allowed to find its own structure for processing inputs (e.g., discovering hidden patterns in data).
- Reinforcement learning: The algorithm repeatedly interacts with a dynamic environment with a specific goal, such as winning a game or driving a car. The algorithm approximates the optimal solution to the problem through repeated trial and error.
In this article, we’ll give a brief overview of machine learning and deep learning, and the differences between the two concepts.
What Is Deep Learning?
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:
- Feed-forward (FF):Data passes in one direction from the input layer through the hidden layers and out the output layer—all nodes are connected and data never cycles back through the hidden layers. FF is used in data compression and basic image processing.
- Recurrent neural networks (RNN):A type of FF network that adds a time delay to the hidden layers which allows access to previous information during a current iteration. This feedback loop approximates memory and makes RNNs great for language processing. A good example of this is predictive text which relies on the words you use most often to tailor its suggestions.
- Convolutional neural networks (CNN):A convolution is a mathematical operation on two functions that produces a third function describing how one is modified by the other. Used primarily for image recognition and classification, CNNs are the “eyes” of AI. The hidden layers in a CNN act as mathematical filters using weighted sums to identify edges, color, contrast, and other elements of a pixel.
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Experience a self-service instance of Pure1® to manage Pure FlashBlade™, the industry's most advanced solution delivering native scale-out file and object storage.
Machine Learning vs Deep Learning
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.
Benefits of Deep Learning
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.
How Pure Storage Powers Machine-learning Apps
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:
- Consolidate your data-storage silos into a unifieddata hub
- Accelerate time to insights withreal-time/log analytics
- Experience the future of AI-driven data-storage management withPure1 Meta®
- 启动你的人工智能的解决方案AIRI®, a full-stack, AI-ready infrastructure solution from Pure Storage and NVIDIA
- 得到full-stack support for AI and machine-learning lifecycles withFlashStack®, a converged infrastructure solution developed in partnership with Cisco.
