Software Alternatives, Accelerators & Startups

Exakt VS Apple Machine Learning Journal

Compare Exakt VS Apple Machine Learning Journal and see what are their differences

Exakt logo Exakt

Exakt makes it easy to measure satisfaction and discover what customers think about your product.

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Exakt Landing page
    Landing page //
    2021-09-09
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Exakt videos

LOOK, SRM EXAKT pedals, long term review. Are they worth the price?

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  • Review - Hands-on: SRM EXAKT Power Meter Pedals
  • Review - Exakt 14 saw with Multi-Rail edge guide, 3 saw blades, dust extraction hose and more.

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to Exakt and Apple Machine Learning Journal)
User Experience
100 100%
0% 0
AI
0 0%
100% 100
SaaS
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Exakt mentions (0)

We have not tracked any mentions of Exakt yet. Tracking of Exakt recommendations started around Sep 2021.

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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What are some alternatives?

When comparing Exakt and Apple Machine Learning Journal, you can also consider the following products

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LiveForm - Forms for your websites and blogs.

Lobe - Visual tool for building custom deep learning models