Introducing G2.ai, the future of software buying.Try now
Deep Learning Reference Stack
Show rating breakdown
Save to My Lists
Unclaimed
Unclaimed

Top Rated Deep Learning Reference Stack Alternatives

Deep Learning Reference Stack Reviews & Product Details

Deep Learning Reference Stack Overview

What is Deep Learning Reference Stack?

The Deep Learning Reference Stack with Tensorflow is an integrated, highly-performant open source stack optimized for Intel Xeon Scalable and Client platforms. This release is part of an effort to ensure AI developers have easy access to all features and functionality of Intel platforms.

Deep Learning Reference Stack Details
Show LessShow More
Product Description

The Deep Learning Reference Stack with Tensorflow is an integrated, highly-performant open source stack optimized for Intel Xeon Scalable and Client platforms. This release is part of an effort to ensure AI developers have easy access to all features and functionality of Intel platforms.


Seller

Intel Corporation

Description

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.

Recent Deep Learning Reference Stack Reviews

Verified User
T
Verified UserSmall-Business (50 or fewer emp.)
2.5 out of 5
"Review for Deep Learning Reference Stack"
Easy to use, will help to find the correct content and software and how to use this.
Vimal G.
VG
Vimal G.Small-Business (50 or fewer emp.)
2.5 out of 5
"This might be the game changer and will save time and efforts to be more productive."
With its usage of this, we will be able to leverage more power of intel hardware and software, well this type of innovation leads to going and deve...

Deep Learning Reference Stack Media

Answer a few questions to help the Deep Learning Reference Stack community
Have you used Deep Learning Reference Stack before?
Yes

2 Deep Learning Reference Stack Reviews

2.5 out of 5
The next elements are filters and will change the displayed results once they are selected.
Search reviews
Hide FiltersMore Filters
The next elements are filters and will change the displayed results once they are selected.
The next elements are filters and will change the displayed results once they are selected.
2 Deep Learning Reference Stack Reviews
2.5 out of 5
2 Deep Learning Reference Stack Reviews
2.5 out of 5

Deep Learning Reference Stack Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
G2 reviews are authentic and verified.
Verified User in Automotive
TA
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Deep Learning Reference Stack?

Easy to use, will help to find the correct content and software and how to use this. Review collected by and hosted on G2.com.

What do you dislike about Deep Learning Reference Stack?

Its still slow and takes time to understand the things still that context is missing Review collected by and hosted on G2.com.

What problems is Deep Learning Reference Stack solving and how is that benefiting you?

One of the most exciting aspects is its ability to learn from user behavior and fine-tune system performance with the help of AI Review collected by and hosted on G2.com.

Vimal G.
VG
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Deep Learning Reference Stack?

With its usage of this, we will be able to leverage more power of intel hardware and software, well this type of innovation leads to going and developing powerful futuristic hardware. The first problem it will solve is that by learning the user usage, it can tune the hardware to give more productivity. Then the User will be able to get more things done by just putting the same efort. Review collected by and hosted on G2.com.

What do you dislike about Deep Learning Reference Stack?

All Deep learning and AI model takes time to model to be get trained based on users activity, so it becomes more difficult to provide the same user experience if more people are using a single device in a different way. Review collected by and hosted on G2.com.

What problems is Deep Learning Reference Stack solving and how is that benefiting you?

Based on requirements, it makes ram and other devices free or converts the required changes from the cache to memory and memory to cache based on my usage. That's powerful, and also, at the same time, it gives the confidence to use hardware in sync with software without fear of losing data. Review collected by and hosted on G2.com.

There are not enough reviews of Deep Learning Reference Stack for G2 to provide buying insight. Below are some alternatives with more reviews:

1
Phrase Localization Platform Logo
Phrase Localization Platform
4.5
(1,201)
Phrase Localization Platform is the translation management system for global companies wanting to improve localization efficiency.
2
Vertex AI Logo
Vertex AI
4.3
(572)
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
3
SAP HANA Cloud Logo
SAP HANA Cloud
4.3
(517)
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
4
SAS Viya Logo
SAS Viya
4.3
(481)
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
5
Spotfire Analytics Logo
Spotfire Analytics
4.2
(356)
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
6
Prolific Logo
Prolific
4.6
(221)
We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.
7
Minitab Statistical Software Logo
Minitab Statistical Software
4.6
(192)
Minitab Statistical Software is a leading statistical software used for quality improvement and statistics education worldwide.
8
Dataiku Logo
Dataiku
4.4
(175)
Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents.
9
Keysight Eggplant Logo
Keysight Eggplant
4.2
(95)
Advanced Design System is the world’s leading electronic design automation software for RF, microwave, and high-speed digital applications. ADS pioneers the most innovative and powerful integrated circuit-3DEM-thermal simulation technologies used by leading companies in the wireless, high-speed networking, defense-aerospace, automotive and alternative energy industries. For 5G, IoT, multi-gigabit data link, radar, satellite and high-speed switched mode power supply designs, Keysight ADS provides an integrated simulation and verification environment to design high-performance hardware compliant with the latest wireless, high speed digital and military standards.
10
Dataloop Logo
Dataloop
4.4
(90)
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
Show More