txd866 / hessianfree Goto Github PK
View Code? Open in Web Editor NEWThis project forked from doomie/hessianfree
An implementation of the Hessian-free optimization algorithm in Theano
This project forked from doomie/hessianfree
An implementation of the Hessian-free optimization algorithm in Theano
An open-source implementation of the Hessian-free optimization algorithm, based on the "Deep Learning via Hessian-free Optimization" paper by James Martens (ICML 2010, http://www.cs.toronto.edu/~jmartens/docs/Deep_HessianFree.pdf). The implementation is in Theano (http://deeplearning.net/software/theano), a highly efficient framework for defining and optimizing expressions with multi-dimensional arrays, and re-uses a lot of code from the Deep Learning Tutorials (http://www.deeplearning.net/tutorial). The prerequisites for using the Hessian-free code are: - a working installation of Theano in the python path - a copy of the Deep Learning tutorials, which can be checked out from https://github.com/lisa-lab/DeepLearningTutorials (simply add the code/ directory to PYTHONPATH) - a one-time execution of the download.sh script (sh download.sh) Once these pre-requisities are satisfied, you can run the code as follows: python run_autoencoder.py -p jacobi -b 500 -e 50 -d mnist -o hf this will load the MNIST dataset, perform 50 iterations of layer-wise RBM pre-training, followed by Hessian-free optimization of the global reconstruction cost using mini-batches of size 5000 and an (approximate) Jacobi pre-conditioner. Supervised learning follows. The code is companion to the following paper: Olivier Chapelle and Dumitru Erhan. Improved preconditioner for hessian free optimization. In NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2011. http://olivier.chapelle.cc/pub/precond.pdf For questions and/or comments, contact Olivier Chapelle and Dumitru Erhan (usernames chap and dumitru on the yahoo-inc.com domain).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.