What is Neural Network? Definition | AI Understanding

Itumọ

Awoṣe iṣiro siwa ti o ni atilẹyin nipasẹ awọn neuronu ti ibi ati awọn synapses.

Awọn ofin ti o jọmọ

Nẹtiwọọki Neural Convolutional (CNN)

Aṣapeye nkankikan fun sisẹ data akoj gẹgẹbi awọn aworan.

Iye nọmba ti o kọ ẹkọ ti o ṣe iwọn awọn ifihan agbara ti n kọja nipasẹ nẹtiwọọki nkankikan.

Itankalẹ afẹyinti

Algorithm ikẹkọ mojuto ti o ṣe imudojuiwọn awọn iwọn awoṣe nipasẹ didin awọn aṣiṣe asọtẹlẹ sẹhin nipasẹ nẹtiwọọki.

Ipin ti ẹkọ ẹrọ ti o nlo ọpọlọpọ awọn nẹtiwọọki alakikan fun ikẹkọ aṣoju.

GAN (Nẹtiwọọki Adversarial Generative)

A generative setup ibi ti a monomono ati discriminator reluwe lodi si kọọkan miiran.

Yiyọ awọn iwuwo awoṣe ti ko ṣe pataki tabi awọn neuronu lati dinku iwọn ati iṣiro.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Neural Networks Hard Parameter Sharing in Multi-Task Networks Bidirectional Recurrent Networks Squeeze-and-Excitation Networks

Wo tun

Natural Language Processing (NLP)Normalization Named Entity Recognition (NER)OCR (Optical Character Recognition)Multimodal Model Open-Source Model Model Quantization Overfitting

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ