You can now use upgraded versions of Apache MXNet, TensorFlow, CNTK, and Caffe, on the AWS Deep Learning AMI v1.2 for Ubuntu, including Keras, available in the AWS Marketplace . The Deep Learning AMI v1.2 for Ubuntu is designed to continue to provide a stable, secure, and high performance execution environment for deep learning applications running on Amazon EC2. The latest MXNet release (v0.9.3), included with this AMI v1.2, adds several enhancements including a faster new image processing API that enables parallel processing, improved multi GPU performance, and support for new operators. This AMI includes the following framework versions: Apache MXNet: v0.9.3; Tensorflow v1.0.0; Caffe release: rc5; Theano: rel 0.8.2; Keras: 1.2.2; CNTK: v2.0 beta12.0; and Torch: master branch. The Deep Learning AMI 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 DL AMI also comes packaged with Anaconda 2 and Anaconda 3 Data Science platform. You can start using the Deep Learning AMI release v1.2 in the AWS Marketplace , today.