The AWS Deep Learning AMI for Amazon Linux Now Supports Caffe2
You can now use Caffe2 with the AWS Deep Learning AMI for Amazon Linux, available on the AWS Marketplace. The addition of Caffe2, a project led by Facebook, allows developers another choice of deep learning frameworks on the AWS platform. To learn more about Caffe2, visit the GitHub repository.
You can now use Caffe2 with the AWS Deep Learning AMI for Amazon Linux, available on the AWS Marketplace. The addition of Caffe2, a project led by Facebook, allows developers another choice of deep learning frameworks on the AWS platform. To learn more about Caffe2, visit the GitHub repository.
The AWS Deep Learning AMI for Amazon Linux Release v2.1_Apr2017 was defined and designed to provide a stable, secure, and high performance execution environment for deep learning applications running on Amazon EC2. This AMI includes the following framework versions: MXNet: v0.9.3; Caffe release: rc5; Caffe2: v0.7.0 (New); Tensorflow: v1.0.1 (Update); Theano: rel 0.8.2; Keras:1.2.2; CNTK: v2.0 rc1; and Torch: master branch.
The Deep Learning AMI also includes Jupyter notebooks with Python 2.7 and Python 3.4 kernels, Matplotlib, Scikit-image, CppLint, Pylint, pandas, Graphviz, Bokeh Python packages, Boto and Boto 3 and the AWS CLI. The Deep Learning AMI also comes packaged with Anaconda 2 and Anaconda 3 Data Science platforms.
The AWS Deep Learning AMI for Amazon Linux Release v2.1_Apr2017 is available in the following public AWS regions: US East (N. Virginia), US West (Oregon), and EU (Ireland). Start using the Deep Learning AMI for Amazon Linux avaialble on the AWS Marketplace, today!