Mallory Helms
ABSTRACT
Machine learning is quickly becoming a major field of research for many technology companies. Google, perhaps, is at the forefront of this movement and have instituted an entire research team called Google Brain to explore the technical aspect and applications of large scale neural networks. Thus far, the group has developed advancements in the areas of natural language recognition, open-source deep learning software, and healthcare related uses for computer vision assisted diagnosis.
- Harris, D. 2015. New to deep learning? Here are 4 easy lessons from Google. GIGAOM. Available at: https://gigaom.com/2015/01/29/new-to-deep-learning-here-are-4-easy-lessons-from-google Retrieved Feb. 14, 2018.Google Scholar
- Marr, B. 2017. What Is Machine Learning - A Complete Beginner's Guide In 2017. Forbes. Available at: https://www.forbes.com/sites/bernardmarr/2017/05/04/what-is-machine-learning-a-complete-beginners-guide-in-2017/2/#7a3f6dce5341 Retrieved Feb. 14, 2018.Google Scholar
- Lewis-Kraus, G. 2016. The Great A.I. Awakening. The New York Times. (Dec. 2016).Google Scholar
- Dean, J. 2017. The Google Brain Team's Approach to Research. Google Research Blog. Available at: https://research.googleblog.com/2017/09/the-google-brain-teams-approach-to.html Retrieved Feb. 14, 2018.Google Scholar
- Google Brain Team. 2015. Google AI Residency Program. Research at Google. Available at: https://research.google.com/teams/brain/residency Retrieved Feb. 14, 2018.Google Scholar
- Sutskever, I., Vinyals, O., and Le, Q. V. 2014. Sequence to Sequence Learning with Neural Networks. Advances in Neural Information Processing Systems 27 (2014). Google ScholarDigital Library
- Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., et.al. 2016. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. Computing Research Repository. (2016).Google Scholar
- Dean, J. and Monga, R. 2015. TensorFlow - Google's latest machine learning system, open sourced for everyone. Google Research Blog. (November 2015). Available at: https://research.googleblog.com/2015/11/tensorflow-googles-latest-machine_9.html Retrieved Feb. 14, 2018.Google Scholar
- Dean, J. and Ng, A. 2012. Using large-scale brain simulations for machine learning and A.I. Google Official Blog. (June 2012). Available at: https://googleblog.blogspot.com/2012/06/using-large-scale-brain-simulations-for.html Retrieved Feb. 14, 2018.Google Scholar
- Wired Staff. 2012. Google's Artificial Brain Learns to Find Cat Videos. WIRED. (June 2012). Available at: https://www.wired.com/2012/06/google-x-neural-network Retrieved Feb. 14, 2018.Google Scholar
- McDonald-Sandjideh, A. 2017. Announcing TensorFlow 1.0. Google Research Blog. (February 2017). Available at: https://research.googleblog.com/2017/02/announcing-tensorflow-10.html Retrieved Feb. 14, 2018.Google Scholar
- Sato, K. 2016. How a Japanese cucumber farmer is using deep learning and TensorFlow. Google Cloud Platform. (August 2016). Available at: https://cloud.google.com/blog/big-data/2016/08/how-a-japanese-cucumber-farmer-is-using-deep-learning-and-tensorflow Retrieved Feb. 14, 2018.Google Scholar
- Eck, D. 2016. Tech Art: Welcome to MagentaWelcome to Magenta! WIRED. (June 2016). Available at: https://www.wired.com/beyond-the-beyond/2016/06/tech-art-welcome-magenta Retrieved Feb. 14, 2018.Google Scholar
- Anon. 2015. Facts about Diabetic Eye Disease. National Eye Institute. (September 2015). Available at: https://nei.nih.gov/health/diabetic/retinopathy Retrieved Feb. 14, 2018.Google Scholar
- Peng, L. 2016. Deep Learning for Detection of Diabetic Eye Disease. Google Research Blog. (November 2016). Available at: https://research.googleblog.com/2016/11/deep-learning-for-detection-of-diabetic.html Retrieved Feb. 14, 2018.Google Scholar
- Stumpe, M. 2017. Assisting Pathologists in Detecting Cancer with Deep Learning. Google research Blog. (March 2017). Available at: https://research.googleblog.com/2017/03/assisting-pathologists-in-detecting.html Retrieved Feb. 14, 2018.Google Scholar
- Liu, Y., Gadepalli, K., Norouzi, M. et.al. 2017. Detecting Cancer Metastases on Gigapixel Pathology Images. Computing Research Repository. (March 2017).Google Scholar
Index Terms
- An Overview of Google Brain and Its Applications
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