title: Keras sequential model not training (Stuck on the same Accuracy and Loss)
body: <p>I'm trying to build a classification algorithm for the UCI Tic-Tac-Toe Dataset (<a href="https://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame" rel="nofollow noreferrer">https://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame</a>) and I'm having some problems</p>
  
  <pre><code>Model = Sequential()
  Model.add(Dense(9))
  Model.add(Dense(64))
  Model.add(Dense(64))
  Model.add(Dense(1, activation="softmax"))
  
  Model.compile(loss = "binary_crossentropy", optimizer = "Adam", metrics = ["accuracy"])
  Model.fit(X_Train, Y_Train, batch_size = BATCH_SIZE, epochs = EPOCHS, validation_data = (X_Val, Y_Val))
  </code></pre>
  
  <p>I get this message for all of my Epochs</p>
  
  <pre><code>Epoch 100/100
  861/861 [==============================] - 0s 40us/step - loss: 5.3782 - accuracy: 0.6492 - 
  val_loss: 4.7916 - val_accuracy: 0.6875
  </code></pre>
  
  <p>Does anyone know a way to fix this</p>