Training a dense neural network

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Check your knowledge

1.

When training image classification task on images with shape 32x32x3, what shape is the input to Dense neural layer?

32x32x3

1024

3072

2.

Our dataset contains images of size 32x32x3. What should we do in order to train Dense neural network on those images?

Use Flatten layer as the first layer of the network to reshape the images

Change the shape of the training dataset elements to be vectors of length 3072, and use a network of only one Dense layer

Any of the above solutions will work

3.

We want to monitor the accuracy of the model on validation dataset during training. What do we need to do?

Specify metrics=['acc'] in a call to model.compile

Specify metrics=['acc'] in a call to model.fit

Provide validation dataset using validation_data parameter in model.fit

Options (a) and (c)

Options (b) and (c)

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