End-to-end deep learning

Feasability depends on the amount of available data.

Pro:

• Let data speak (no forced representation)
• Less hand-designing of components

Cons:

• Large amount of data needed
• Excludes useful hand-designed features
• Multi-step approach is used, when more data for subtasks is available