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AWS DeepRacer

The fastest way to get rolling with machine learning
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What is AWS DeepRacer?

Developers of all skill levels can get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.
AWS DeepRacer is a tool in the Machine Learning Tools category of a tech stack.

Who uses AWS DeepRacer?

Developers

AWS DeepRacer's Features

  • A fun way to learn machine learning
  • Master the basics with time-trial racing
  • Expand your skills with head-to-head racing

AWS DeepRacer Alternatives & Comparisons

What are some alternatives to AWS DeepRacer?
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.
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.
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.
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

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