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AWS Deep Learning AMIs VS ConvNetJS

Compare AWS Deep Learning AMIs VS ConvNetJS and see what are their differences

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AWS Deep Learning AMIs logo AWS Deep Learning AMIs

The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.

ConvNetJS logo ConvNetJS

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30
  • ConvNetJS Landing page
    Landing page //
    2019-05-06

Category Popularity

0-100% (relative to AWS Deep Learning AMIs and ConvNetJS)

AWS Deep Learning AMIs

ConvNetJS

Diagnostics Software
100 100%
Diagnostics Software
0% 0
OCR
0 0%
OCR
100% 100
Development
100 100%
Development
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Deep Learning AMIs should be more popular than ConvNetJS. It has been mentiond 3 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.

AWS Deep Learning AMIs mentions (3)

  • Machine Learning Best Practices for Public Sector Organizations
    AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 2 years ago
  • Unable to host a Flask App consisting of an Image Classification Model coded in Pytorch to a free tier EC2 instance. The issue occurs at requirements installation i.e The torch v1.8.1 installation gets stuck at 94%.
    Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago
  • Is Sagemaker supposed to replace Keras or PyTorch? Or Tensorflow?
    Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago

ConvNetJS mentions (2)

  • Gotta consider every possibility
    One, Two, Three, and so on. ANYone does use JS for machine learning. Though that's unconventional, python is by far the leading language for ML. Maybe you meant to say "EVERYone"? Source: about 1 year ago
  • How to start with Deep Learning
    Another good one is ConvNetJS - but I don’t have much experience using that. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing AWS Deep Learning AMIs and ConvNetJS, you can also consider the following products

AWS Auto Scaling - Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.

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

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning

Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.

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

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