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Knet VS Amazon Machine Learning

Compare Knet VS Amazon Machine Learning and see what are their differences

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Contents:
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  2. » Videos
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Knet logo Knet

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Knet Landing page
    Landing page //
    2021-10-10
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Knet videos

+ Add

Play Doh Knetfiguren | deutsch - formen mit Knetix Knet-Set | Review and Fun

More videos:

  • Review - Review/Test: Soft-Knet-Set aus dem Müller Drogeriemarkt
  • Review - knet Mario review

Amazon Machine Learning videos

+ Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to Knet and Amazon Machine Learning)

Knet

Amazon Machine Learning

OCR
100 100%
OCR
0% 0
AI
0 0%
AI
100% 100
Data Science And Machine Learning
17 17%
Data Science And Machine Learning
83% 83
Machine Learning
100 100%
Machine Learning
0% 0

User comments

Share your experience with using Knet and Amazon Machine Learning. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Amazon Machine Learning seems to be more popular. It has been mentiond 2 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.

Knet mentions (0)

We have not tracked any mentions of Knet yet. Tracking of Knet recommendations started around Mar 2021.

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago

What are some alternatives?

When comparing Knet and Amazon Machine Learning, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Lobe - Visual tool for building custom deep learning models

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Apple Machine Learning Journal - A blog written by Apple engineers

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