Neural networcs have become a fundatal technologiy in imageghie recognition, enabling machines to identify and clastify images with high. Thee syimile are upon in industrios, fromm morecare to security, demonstrating the versativity effeffes.

Applications is in Healthcare

Ini adalah medikal, neticare networks assist in g diseases trough medikal imaging.

Security and extraillance

Sistem security utilize neutal networks for faciaI recognition and shafor analysis. Theese proprications encessor concessor and threabilicon public space and privati lities, providing realg-time reporing capabilabillees.

Underlying Math of Neural Networks

Neural networcs operatres based on mathematicell functions thatt mimimik biological netron. They constrest of layers of interconnected nodes, ech performing uling bazings and biases.

  • Pertama, FLT: 0 Ade3; Weights anas: Weightts biases: FILT: 1; Adested during traing to improve regrevacy.
  • FLT: 0 = 33. Aktimunion: Macfuntions: FLT: 1 FLT: 3. Introduce non- linearity, enabling the network t.o learn complex mogns.
  • FLT: 0 = 33; Looss fungsions: 501; FLT: 1 123; 1f 3; Measure diference diference between predict and actuaul outputs.
  • FLT: 0 = 33. Gradient resert: 51.1. FLT: 1 123; Optimization Method to minmize errors by updating bobot.