dementrock

4 ms·

1. 1.▲
   by dementrock 10y ago

   (Author here) This is a great question! There are at least two scenarios where having a meta-learning setup could help. The first is to learn the fast RL algorithm in simulation, by having a distribution over real world environments (varyin
2. 2.▲
   Rllab – framework for developing and evaluating reinforcement learning algorithms(github.com)

   8 points by dementrock 10y ago|2 comments
3. 3.▲
   by dementrock 11y ago

   Actually TensorFuse does support RNN by porting a subset of scan to TensorFlow. I've been using it to port Lasagne to support TensorFlow: https://github.com/dementrock/Lasagne-tf . The examples/recurrent.py th
4. 4.▲
   TensorFuse – Common interface for Theano, CGT, and TensorFlow(github.com)

   54 points by dementrock 11y ago|7 comments
5. 5.▲
   Supernormal Stimuli: The Seduction of Our Senses(imgur.com)

   2 points by dementrock 11y ago|0 comments
6. 6.▲
   by dementrock 11y ago

   OP here - I don't work for Fuse and I've got a related question. Will the Fuse libraries be open-sourced too?
7. 7.▲
   Fuse – Write cross platform native apps using C# and JavaScript(fusetools.com)

   75 points by dementrock 11y ago|41 comments