The advantages and disadvantages of deep learning.

Main Advantages:

• Features are automatically deduced and optimally tuned for desired outcome.
• The same neural network based approach can be applied to many different applications and data types.
• The deep learning architecture is flexible to be adapted to new problems in the future.

Main disadvantages:

• It requires very large amount of data in order to perform better than other techniques.
• It is extremely expensive to train due to complex data models.
• There is no standard theory to guide you in selecting right deep learning tools as it requires knowledge of topology, training method and other parameters.

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