Exchange 2010 Autodiscover DNS configuration

Question

Attempting to follow the tutorial at https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html in order to train a model for a small amount of training data, using pre-existing word-embeddings.

The issue I am having is when I attempt to run the 1D Convnet, I get the error:

Input 0 is incompatible with layer flatten_11: expected min_ndim=3, found ndim=2

The dimensions of my tensors are:

Shape of data tensor: (91, 1000) Shape of label tensor: (91, 3)

The issue is with this part of the code:

sequence_input = Input(shape=(MAX_SEQUENCE_LENGTH,), dtype='int32')
    embedded_sequences = embedding_layer(sequence_input)
    x = Conv1D(128, 5, activation='relu')(embedded_sequences)
    x = MaxPooling1D(5)(x)
    x = Conv1D(128, 5, activation='relu')(x)
    x = MaxPooling1D(5)(x)
    x = Conv1D(128, 5, activation='relu')(x)
    x = GlobalMaxPooling1D()(x)
    x = Flatten()(x)
    x = Dense(3, activation='relu')(x)
    preds = Dense(len(labels_index), activation='softmax')(x)

    model = Model(sequence_input, preds)
    model.compile(loss='categorical_crossentropy',
                  optimizer='rmsprop',
                  metrics=['acc'])

    model.fit(x_train, y_train,
               batch_size=128,
               epochs=10,
               validation_data=(x_val, y_val))

Without flattening, it feeds back the error:

Error when checking target: expected dense_25 to have shape (33,) but got array with shape (3,)

I'm trying to work out where and what I need to change to ensure the dimensions are working correctly, however I haven't managed to work out what exactly I need to change. Any help would be greatly appreciated.

Solution

What about on the Exchange side...what are the internal/external URLs configured as? Do you have an A record in DNS for "autodiscover.company.com" (or autodiscover.company.local internally) and does your SSL cert have both names listed?

Set the internalURL and create an A record...both internally and externally (using autodiscover.company.com) if you want the clients to be able to autodiscover from outside too.

Comments

[juFo]

I've updated the post. is that update correctly?

[juFo]

When creating an A record, I also created the PTR record. Not sure if this is needed. Let's see if this works.

[juFo]

everything seems fine now :)

[kralyk]

I've switched my comments to an "answer". If that didn't fix it and you figured it out yourself, please post your own answer and accept it. Thanks!

[Joseph Oliver]

Altered the label creation to: for text in texts: label_id = len(labels_index) labels_index[text] = label_id labels.append(label_id) but now it feeds back that the array's shape is 34. Getting closer, but any idea what I need to change to fix it?

[nuric]

It sounds data specific, so I is difficult to tell. At least you know where the problem is, your number of labels do not agree with the model basically.