String representation for binary classification in tensorflow












0














I'm making a simple classifier to distinguish strings as hashes/not hashes:




  1. 8e9fc6968605396b74b204b1d90086cfe17c572e - hash

  2. MySuperCoolClassWithLongNameDelegate1234 - not hash


In numerous tutorials online you can find examples of image classfifiers:



model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Flatten())
model.add(tf.keras.layers.Dense(128, activation=tf.nn.relu))
model.add(tf.keras.layers.Dense(2, activation=tf.nn.softmax))

model.compile(optimizer='adam',
loss='binary_crossentropy',
metrics=['accuracy']
)

model.fit(x_train, y_train, epochs=3)


Usually you load images as arrays of numbers (with or without normalizing). And it works perfectly.



But what is the best way to represent strings for such a problem?



Thanks in advance










share|improve this question





























    0














    I'm making a simple classifier to distinguish strings as hashes/not hashes:




    1. 8e9fc6968605396b74b204b1d90086cfe17c572e - hash

    2. MySuperCoolClassWithLongNameDelegate1234 - not hash


    In numerous tutorials online you can find examples of image classfifiers:



    model = tf.keras.models.Sequential()
    model.add(tf.keras.layers.Flatten())
    model.add(tf.keras.layers.Dense(128, activation=tf.nn.relu))
    model.add(tf.keras.layers.Dense(2, activation=tf.nn.softmax))

    model.compile(optimizer='adam',
    loss='binary_crossentropy',
    metrics=['accuracy']
    )

    model.fit(x_train, y_train, epochs=3)


    Usually you load images as arrays of numbers (with or without normalizing). And it works perfectly.



    But what is the best way to represent strings for such a problem?



    Thanks in advance










    share|improve this question



























      0












      0








      0







      I'm making a simple classifier to distinguish strings as hashes/not hashes:




      1. 8e9fc6968605396b74b204b1d90086cfe17c572e - hash

      2. MySuperCoolClassWithLongNameDelegate1234 - not hash


      In numerous tutorials online you can find examples of image classfifiers:



      model = tf.keras.models.Sequential()
      model.add(tf.keras.layers.Flatten())
      model.add(tf.keras.layers.Dense(128, activation=tf.nn.relu))
      model.add(tf.keras.layers.Dense(2, activation=tf.nn.softmax))

      model.compile(optimizer='adam',
      loss='binary_crossentropy',
      metrics=['accuracy']
      )

      model.fit(x_train, y_train, epochs=3)


      Usually you load images as arrays of numbers (with or without normalizing). And it works perfectly.



      But what is the best way to represent strings for such a problem?



      Thanks in advance










      share|improve this question















      I'm making a simple classifier to distinguish strings as hashes/not hashes:




      1. 8e9fc6968605396b74b204b1d90086cfe17c572e - hash

      2. MySuperCoolClassWithLongNameDelegate1234 - not hash


      In numerous tutorials online you can find examples of image classfifiers:



      model = tf.keras.models.Sequential()
      model.add(tf.keras.layers.Flatten())
      model.add(tf.keras.layers.Dense(128, activation=tf.nn.relu))
      model.add(tf.keras.layers.Dense(2, activation=tf.nn.softmax))

      model.compile(optimizer='adam',
      loss='binary_crossentropy',
      metrics=['accuracy']
      )

      model.fit(x_train, y_train, epochs=3)


      Usually you load images as arrays of numbers (with or without normalizing). And it works perfectly.



      But what is the best way to represent strings for such a problem?



      Thanks in advance







      python tensorflow classification






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 19 '18 at 13:28









      jdehesa

      22.3k43150




      22.3k43150










      asked Nov 19 '18 at 12:56









      dimayak

      62




      62





























          active

          oldest

          votes











          Your Answer






          StackExchange.ifUsing("editor", function () {
          StackExchange.using("externalEditor", function () {
          StackExchange.using("snippets", function () {
          StackExchange.snippets.init();
          });
          });
          }, "code-snippets");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "1"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53375146%2fstring-representation-for-binary-classification-in-tensorflow%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown






























          active

          oldest

          votes













          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.





          Some of your past answers have not been well-received, and you're in danger of being blocked from answering.


          Please pay close attention to the following guidance:


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53375146%2fstring-representation-for-binary-classification-in-tensorflow%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Can a sorcerer learn a 5th-level spell early by creating spell slots using the Font of Magic feature?

          Does disintegrating a polymorphed enemy still kill it after the 2018 errata?

          A Topological Invariant for $pi_3(U(n))$