Keras output looks different than others
Question: When I run the below code :

    
    
    from keras.models import Sequential
    from keras.layers import Dense
    import numpy
    import time
    
    # fix random seed for reproducibility
    seed = 7
    numpy.random.seed(seed)
    # load dataset
    
    dataset = numpy.loadtxt("C:/Users/AQader/Desktop/Keraslearn/mammm.csv", delimiter=",")
    # split into input (X) and output (Y) variables
    X = dataset[:,0:5]
    Y = dataset[:,5]
    
    # create model
    model = Sequential()
    model.add(Dense(50, input_dim=5, init='uniform', activation='relu'))
    model.add(Dense(25, init='uniform', activation='tanh'))
    model.add(Dense(15, init='uniform', activation='tanh'))
    model.add(Dense(1, init='uniform', activation='sigmoid'))
    
    # Compile model
    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
    
    # Fit the model
    model.fit(X, Y, nb_epoch=200, batch_size=20, verbose = 0)
    time.sleep(0.1)
    
    # evaluate the model
    scores = model.evaluate(X, Y)
    print("%s: %.2f%%" % (model.metrics_names[1], scores[1]*100))
    

I end up receiving the following.

    
    
    32/829 [>.............................] - ETA: 0sacc: 84.20%
    

That's it. Only one line that shows up after a half minute of training. After
looking through other questions, the usual output looks like:

    
    
    Epoch 1/20
    1213/1213 [==============================] - 0s - loss: 0.1760     
    Epoch 2/20
    1213/1213 [==============================] - 0s - loss: 0.1840     
    Epoch 3/20
    1213/1213 [==============================] - 0s - loss: 0.1816     
    Epoch 4/20
    1213/1213 [==============================] - 0s - loss: 0.1915     
    Epoch 5/20
    1213/1213 [==============================] - 0s - loss: 0.1928     
    Epoch 6/20
    1213/1213 [==============================] - 0s - loss: 0.1964     
    Epoch 7/20
    1213/1213 [==============================] - 0s - loss: 0.1948     
    Epoch 8/20
    1213/1213 [==============================] - 0s - loss: 0.1971     
    Epoch 9/20
    1213/1213 [==============================] - 0s - loss: 0.1899     
    Epoch 10/20
    1213/1213 [==============================] - 0s - loss: 0.1957  
    

Can anyone tell me what may be wrong here? I am a beginner in this yet this
doesn't seem normal. Please note that there are no errors in the "code"
sections. What I mean is that the 0sacc is what shows up. I'm running this in
the Anaconda Environment Python 2.7 on a Windows 7 64-bit machine. 8GB RAM and
Core i5 5th gen.


Answer: By calling `model.fit` with `verbose = 0` you have suppressed detailed output.
Try setting `verbose = 1`.

