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fchollet's profile
François Chollet
François Chollet
François Chollet
Verified account
@fchollet

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François CholletVerified account

@fchollet

Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.

United States
fchollet.com
Joined August 2009

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    1. (((ل()(ل() 'yoav)))) 👾‏ @yoavgo 12 Dec 2015
      Replying to @aCraigPfeifer

      @aCraigPfeifer my current annoyance is with the weird Table interface, and with what they chose to include (or not) in the String api.

      1 reply 0 retweets 0 likes
    2. craig p. is a whole vibe‏ @aCraigPfeifer 12 Dec 2015
      Replying to @yoavgo

      @yoavgo yeah, I gave up and switched to @fchollet 's #keras. I'm better in #python than #lua

      1 reply 0 retweets 0 likes
    3. Nicholas Dronen‏ @ndronen 12 Dec 2015
      Replying to @aCraigPfeifer

      @aCraigPfeifer @yoavgo @fchollet keras is nice. sadly, last i checked, it's missing shared parameters and internal fork/join.

      3 replies 0 retweets 0 likes
    4. François Chollet‏Verified account @fchollet 12 Dec 2015
      Replying to @ndronen

      @ndronen @aCraigPfeifer @yoavgo Keras supports "shared nodes" in graphs (if that's what you mean) and support DAGs, making "fork" irrelevant

      1 reply 1 retweet 0 likes
    5. Nicholas Dronen‏ @ndronen 12 Dec 2015
      Replying to @fchollet

      @fchollet @aCraigPfeifer @yoavgo by shared parameters i mean different nodes in a graph using the same word embeddings. keras has that?

      1 reply 0 retweets 0 likes
    6. François Chollet‏Verified account @fchollet 12 Dec 2015
      Replying to @ndronen

      @ndronen @aCraigPfeifer @yoavgo Yes. Use graph.add_shared_node().

      2 replies 0 retweets 1 like
    7. François Chollet‏Verified account @fchollet 12 Dec 2015
      Replying to @fchollet

      @ndronen @aCraigPfeifer @yoavgo but depending on what you mean, maybe you just need to use a Graph. Unclear. http://keras.io/models/#graph 

      1 reply 0 retweets 0 likes
    8. Nicholas Dronen‏ @ndronen 12 Dec 2015
      Replying to @fchollet

      @fchollet @aCraigPfeifer @yoavgo for fork, what I need is to clone the output of a node and send it to two nodes (see: residual learning).

      1 reply 0 retweets 0 likes
    9. François Chollet‏Verified account @fchollet 12 Dec 2015
      Replying to @ndronen

      @ndronen @aCraigPfeifer @yoavgo So can't you just connect 2 nodes in your Graph to that one node? Am I missing something?

      1 reply 0 retweets 0 likes
    10. Nicholas Dronen‏ @ndronen 12 Dec 2015
      Replying to @fchollet

      @fchollet @aCraigPfeifer @yoavgo the last time i tried it wasn't possible. saw a comment in code, issue, or mailing list that confirmed it.

      2 replies 0 retweets 0 likes
      François Chollet‏Verified account @fchollet 12 Dec 2015
      Replying to @ndronen

      @ndronen @aCraigPfeifer @yoavgo definitely possible, e.g. this uses the same Embedding node twice https://github.com/fchollet/keras/blob/master/examples/imdb_bidirectional_lstm.py …

      3:52 PM - 12 Dec 2015
      • 1 Like
      • craig p. is a whole vibe
      1 reply 0 retweets 1 like
        1. New conversation
        1. Nicholas Dronen‏ @ndronen 12 Dec 2015
          Replying to @fchollet

          @fchollet @aCraigPfeifer @yoavgo must have been a bug in my code and i misread then. that seems to handle the fork case i need.

          1 reply 0 retweets 0 likes
        2. Nicholas Dronen‏ @ndronen 12 Dec 2015
          Replying to @ndronen

          @fchollet @aCraigPfeifer @yoavgo there is a more complicated shared embeddings case than that lstm example that i think isn't supported.

          1 reply 0 retweets 0 likes
        3. Show replies

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