08_Additional_Resources

Additional Resources

###Official Resources:

• TensorFlow Python API
• TensorFlow on Github
• TensorFlow Tutorials
• Udacity Deep Learning Class
• TensorFlow Playground

###Github Tutorials and Examples:

• Tutorials by pkmital
• Tutorials by nlintz
• Examples by americdamien
• TensorFlow Workshop by amygdala

###Deep Learning Resources

• Efficient Back Prop by Yann LeCun, et. al.
• Online Deep Learning Book, MIT Press
• An Overview of Gradient Descent Algorithms by Sebastian Ruder
• Stochastic Optimization by John Duchi, et. al.
• ADADELTA Method by Matthew Zeiler
• A Friendly Introduction to Cross-Entropy Loss by Rob DiPietro

###Additional Resources

• A Curated List of Dedicated TensorFlow Resources

###Arxiv Papers

• TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
• TensorFlow: A system for large-scale machine learning
• Distributed TensorFlow with MPI
• Comparative Study of Deep Learning Software Frameworks
• Wide & Deep Learning for Recommender Systems