The future of deep learning
This post is adapted from Section 3 of Chapter 9 of Francois Chollet's book, Deep Learning with Python (Manning Publications). It is part of a series of two posts on the current limitations of deep learning, and its future. You can read the first part here: The Limitations of Deep Learning.
What's Next For Deep Learning?
Answer by Ian Goodfellow, AI Research Scientist at Google Brain, on Quora: There are a lot of things that are next for deep learning. Instead of thinking of moving forward in one direction, think of expanding outward in many directions.
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
The authors present a framework for specifying, training, evaluating, and deploying machine learning models. Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production.
Nvidia uses AI to create 3D graphics better than human artists can
Nvidia’s researchers have created a way for AI to create realistic human facial animations in a fraction of the time it takes human artists to do the same thing.
Cutting Edge Deep Learning for Coders—Launching Deep Learning Part 2
These 15 hours of lessons take you from part 1’s best practices, all the way to cutting edge research.
No comments:
Post a Comment