Machine Learning and Deep Learning

Deep Learning (DL) solutions on Amazon Web Services. Amazon SageMaker, Amazon Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework.

Background material on Deep Learning

User Interfaces and Jupyter Notebooks

Frameworks in AWS Deep Learning AMIsReference
MXNet https://aws.amazon.com/mxnet/
TensorFlow https://www.tensorflow.org/
Caffe2 https://www.caffe2.ai/
Torch https://github.com/torch
Keras https://keras.io/
Theano http://deeplearning.net/software/theano/
Caffe http://caffe.berkeleyvision.org/
Microsoft Cognitive Toolkit (CNTK) https://www.microsoft.com/en-us/cognitive-toolkit/
Additional Algorithms and Tools Reference
XGBoost. Maintained by the distributed machine learning council (DMLC) https://xgboost.ai

MXNet and Programming Styles

Amazon Sagemaker

Algorithms

Reinforcement Learning

Test Data Sets and Resources for Deep Learning

AWS Services for Machine Learning and Deep Learning

Deploying Deep Learning Models

TECHNICAL BLOGS and PRESENTATIONS

CUSTOMER REFERENCES