title: fashion_mnist Data ML Accuracy Score is only 0.1
body: <p>i am pretty new to ML and trying to do an typical fashion_mnist Classification. The Problem is that the accuracy Score after I run the code is only 0.1 and the loss is below 0. So i guess the ML is not learning but I dont know what the Problem is?
  Thx</p>
  <pre><code>from tensorflow.keras.datasets import fashion_mnist 
  (x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()
  
  x_train = x_train.astype('float32')
  print(type(x_train))
  x_train =x_train.reshape(60000,784)
  x_train = x_train / 255.0
  x_test =x_test.reshape(60000,784)
  x_test= x_test/ 255.0
  
  
  from tensorflow.keras import Sequential
  from tensorflow.keras.layers import Dense
  
  model= Sequential()
  model.add(Dense(100, activation=&quot;sigmoid&quot;, input_shape=(784,)))
  model.add(Dense(1, activation=&quot;sigmoid&quot;))
  model.compile(optimizer='sgd', loss=&quot;binary_crossentropy&quot;, metrics=[&quot;accuracy&quot;])
  
  model.fit(
      x_train,
      y_train,
      epochs=10,
      batch_size=1000)
  </code></pre>
  <p>Output:</p>
  <p><a href="https://i.stack.imgur.com/v4eah.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/v4eah.jpg" alt="enter image description here" /></a></p>