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Frequently Asked Questions
How many layers are required in a neural network?
The number of layers depends upon the architecture of the algorithm. There are three types of layers: convolutional, max pooling, and dense layers.
Why is the tensor flattened before passing on to dense layers?
This is done to reduce the computations when training the model.
What are the various loss functions that can be used?
The various loss functions include sigmoid, linear, and ReLu.