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AWS DeepLens

Deep learning enabled video camera for developers
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What is AWS DeepLens?

It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
AWS DeepLens is a tool in the Machine Learning Tools category of a tech stack.

AWS DeepLens Integrations

Amazon S3, Amazon DynamoDB, TensorFlow, Amazon SQS, and Amazon SNS are some of the popular tools that integrate with AWS DeepLens. Here's a list of all 8 tools that integrate with AWS DeepLens.

AWS DeepLens's Features

  • A new way to learn machine learning
  • Custom built for deep learning
  • Build custom models with Amazon SageMaker
  • Broad framework support
  • Integrated with AWS

AWS DeepLens Alternatives & Comparisons

What are some alternatives to AWS DeepLens?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives