Kọ́ ẹ̀kọ́Ìròyìn Irinṣẹ́Iṣẹ́Iṣẹ́ wa

AI Gilosari Igba

Kí ni Nẹtiwọọki nkankikan?

Itumọ

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

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ

Nẹtiwọọki Neural Convolutional (CNN)Aṣapeye nkankikan fun sisẹ data akoj gẹgẹbi awọn aworan.IwọnIye nọmba ti o kọ ẹkọ ti o ṣe iwọn awọn ifihan agbara ti n kọja nipasẹ nẹtiwọọki nkankikan.Itankalẹ afẹyintiAlgorithm ikẹkọ mojuto ti o ṣe imudojuiwọn awọn iwọn awoṣe nipasẹ didin awọn aṣiṣe asọtẹlẹ sẹhin nipasẹ nẹtiwọọki.Ẹkọ JinIpin 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.PiregeYiyọ 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