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Amazing work; it makes using AI and Deep Learning accessible for everyone here really. If you haven't seen it check this out for an intro: https://www.youtube

Amazing work; it makes using AI and Deep Learning accessible for everyone here really. If you haven't seen it check this out for an intro: https://www.youtube.com/watch?v=vq2nnJ4g6N0 https://www.youtube.com/watch?v=vq2nnJ4g6N0 I wish AMD graphics cards were supported fully. I really think AMD should find a way to work with the Tensor Flow team on this...

amenod 10y ago
I agree 100%. I'm not sure what AMD is thinking, but without support from major ML tools there is no chance of competing against NVidia in this space - and this space will grow larger and larger.
syntaxing 10y ago
I totally agree with you as well. I was looking for a new graphics card and was debating between the GTX1050 or the RX480. I ended up getting the 1050 since it has CUDA and CUDANN support even though the RX480 has better specs.
cityhall 10y ago
It's worth pointing out Tensorflow is basically Google's clone of Theano, including a lot of the same design decisions. They've improved some things but it's not like Google handed us the secret to fire here. It's just a good implementation of the same things a lot of people have been working on for years.
- p1esk 10y ago
  TensorFlow is not a clone of Theano. It's based on the earlier Google's platform DistBelief, mostly known outside of Google as the engine behind 2012 Youtube cat videos paper. Like DistBelief, TensorFlow was designed from the ground up to be scalable across multiple nodes. Theano, on the other hand, seems to be focused on the optimizations for the single machine, single GPU code. It only recently got the ability to run each function on a different GPU.
  - andy_ppp 10y ago
    To be truthfully honest it doesn't matter either way or even if there is something "better" out there (if Theranos was...). TensorFlow has already become the winner from my reading around it so I'm going to continue learning it rather than another framework until I've become fairly proficient. By which time why change?
    - p1esk 10y ago
      TensorFlow does not make AI or DL "more accessible". It's not easier to use than Theano. Both have good documentation, and both have lots of code examples/model implementations. If you're looking for something that would make it easier for you to learn DL, you should try Keras - it's a higher level library, which can use both Theano and TF as a backend.
  - lern_too_spel 10y ago
    DistBelief was a CPU-only special purpose neural network system that would have been difficult to modify to support arbitrary neural architectures like theano. TensorFlow is not based on DistBelief in any meaningful way other than that they were written by mostly the same people.

amenod 10y ago

I agree 100%. I'm not sure what AMD is thinking, but without support from major ML tools there is no chance of competing against NVidia in this space - and this space will grow larger and larger.

syntaxing 10y ago

I totally agree with you as well. I was looking for a new graphics card and was debating between the GTX1050 or the RX480. I ended up getting the 1050 since it has CUDA and CUDANN support even though the RX480 has better specs.

cityhall 10y ago

It's worth pointing out Tensorflow is basically Google's clone of Theano, including a lot of the same design decisions. They've improved some things but it's not like Google handed us the secret to fire here. It's just a good implementation of the same things a lot of people have been working on for years.

p1esk 10y ago
TensorFlow is not a clone of Theano. It's based on the earlier Google's platform DistBelief, mostly known outside of Google as the engine behind 2012 Youtube cat videos paper. Like DistBelief, TensorFlow was designed from the ground up to be scalable across multiple nodes. Theano, on the other hand, seems to be focused on the optimizations for the single machine, single GPU code. It only recently got the ability to run each function on a different GPU.
- andy_ppp 10y ago
  To be truthfully honest it doesn't matter either way or even if there is something "better" out there (if Theranos was...). TensorFlow has already become the winner from my reading around it so I'm going to continue learning it rather than another framework until I've become fairly proficient. By which time why change?
  - p1esk 10y ago
    TensorFlow does not make AI or DL "more accessible". It's not easier to use than Theano. Both have good documentation, and both have lots of code examples/model implementations. If you're looking for something that would make it easier for you to learn DL, you should try Keras - it's a higher level library, which can use both Theano and TF as a backend.
- lern_too_spel 10y ago
  DistBelief was a CPU-only special purpose neural network system that would have been difficult to modify to support arbitrary neural architectures like theano. TensorFlow is not based on DistBelief in any meaningful way other than that they were written by mostly the same people.