We need deep networks because they can model complex relationships and patterns in data more effectively than shallow networks. Deep networks, with their multiple layers, allow for hierarchical feature learning and representation, enabling them to capture nuanced details and make accurate predictions.
6 answers
SolitudeSeeker
Sat Nov 02 2024
This ability eliminates the requirement for explicit feature engineering, which is often a tedious and time-consuming process.
EnchantedNebula
Sat Nov 02 2024
By automatically extracting features, deep neural networks save considerable time and effort.
Eleonora
Sat Nov 02 2024
They are capable of capturing intricate patterns and relationships within the data.
GangnamGlitter
Sat Nov 02 2024
Deep neural networks possess a significant advantage in their capacity to learn relevant features automatically.
KDramaLegendaryStarlightFestival
Sat Nov 02 2024
These patterns and relationships may not be immediately apparent to human experts, highlighting the power of deep learning.