Tshuab Kawm Poob Haujlwm Chav Kawm

Txheeb xyuas thiab kev xav ntawm kev kawm tshuab google

Kuv nyuam qhuav ua tus tsim tawm chav kawm rau Google Tshuab Kev Kawm Crash Course. Kev qhia pib, qhov uas lawv muab cov tswv yim yooj yim rau koj thiab pom cov piv txwv ntawm kev coj ua tiag nrog TensorFlow. Cov piv txwv no yog yam uas tau txhawb kuv kom ua li ntawd.

Crash vs. Machine Learning Coursera

Nws yog chav kawm yooj yim dua li ntawm Coursera Tshuab Kawm thiab siv tau ntau dua Cia peb hais tias Chav Kawm Coursera tsom mus rau koj nkag siab tias algorithms ua haujlwm li cas thaum hauv Google Crash cov txheej txheem no yuav luag zoo li lub thawv dub, lawv muab lus piav qhia me me thiab qhia koj yuav ua li cas siv nws nrog Tensor Flow.

Thiab qhov no yog qhov sib txawv loj. Google txoj kev kawm, txawm hais tias piav qhia ntau yam tob tob txog cov ntsiab lus sib txawv thiab cov txheej txheem ntawm Tshuab Kev Kawm, qhia peb kom siv lawv thiab pib siv TensorFlow thiab Keras.

Txhua qhov kev tawm dag zog tau ua tiav nrog Google Cov, uas peb twb tau npaj ib puag ncig kev txhim kho. Nws yog qhov sib txawv loj nrog Cursera chav kawm uas koj ua haujlwm nrog Matalab lossis Octave txhawm rau siv cov txheej txheem. Tab sis koj tsis pom dab tsi los ntawm Tensorflow lossis yuav daws qhov teeb meem tiag li cas.

Hais txog kuv cov lus hais hauv kev tshuaj xyuas ntawm chav kawm ntawd

Nws yog theoretical heev. Tab sis tej zaum yog vim li cas nws zoo li pib tsim txoj hauv kev zoo vim tias koj tsis yog tsuas yog kawm ua dab tsi tab sis vim li cas koj ua nws.

- Thaum twg los xaiv ib qho algorithm lossis lwm qhov.

- Yuav xaiv thiab txheeb xyuas qhov sib txawv li cas.

- Teeb meem dab tsi tuaj yeem tshwm sim nrog cov txheej txheem thiab tshwj xeeb tshaj yog ntsuas dab tsi.

Koj tuaj yeem ua Google Crash Machine Learning chav kawm txawm hais tias koj tsis muaj qib lej, Andrew Ng's Coursera tsis ua

Cov txheej txheem: Dab tsi yog pom hauv chav kawm

kev qhia ua ntej rau kev kawm tshuab

Ua ntej, koj pib nrog kev piav qhia ntawm Machine Learning yog dab tsi, cov ntsiab lus tseem ceeb thiab hom teeb meem. Thiab nrog qhov no, nws yog lub sijhawm los tham txog cov ntsiab lus hauv qab no. Zam txim tias muaj ntau lo lus ua lus Askiv, tab sis chav kawm yog lus Askiv (txawm hais tias nws yooj yim heev ua raws nws) thiab ntau tus yuam sij yog tsis muaj kev txhais lus, lossis thaum txhais nws tsis muaj lub ntsiab lus, vim hais tias hauv cov ntsiab lus ntawm Machine Learning txhua tus thiab hauv txhua qhov chaw hais lawv ua lus Askiv.

  • Linear Regression lossis Linear Regression
  • Squared poob: nrov poob muaj nuj nqi
  • Gradient Down thiab Gradient Down Stochastic
  • Tus nqi kawm lossis tus nqi kawm.
  • Generalization
  • Nyiaj tshaj
  • Teeb tsa qhov tseeb
  • Feature hla nrog hla hla ib qho kub vectors
  • Nolinearialities
  • Kev tu ncua (qhov yooj yim thiab qhov sib txawv) (L1 thiab L2)
  • Logistic regression
  • Kev faib tawm
  • Qhov tseeb, qhov tseeb thiab Nco qab
  • ROC Curve thiab AUC
  • Neural tes hauj lwm (Kev Kawm, Ib Leeg Txhua Ib, Softmax)
  • Embeddings

Raws li kuv tau hais, nws ua haujlwm nrog Google Colab.

Rau leej twg nws yog

Yog tias koj nyuam qhuav pib tawm thiab xav kawm los ua piv txwv yooj yim. Nws yog txoj hauv kev zoo los pib.

Muaj 15 teev ntawm chav kawm uas koj tuaj yeem ua ntawm koj tus kheej, thiab txawm hais tias muaj kev tawm dag zog koj tsis tas yuav xa khoom lossis dhau ib qho kev xeem.

Hoob no yog pub dawb.

Thiab tam sim no uas?

Raws li lawv tau nrawm, Kuv yuav muaj tseeb saib qhov seem uas lawv muaj hauv Google.

Ntxiv rau qhov txuas ntxiv mus sim qee qhov ntawm cov chav kawm uas peb tau tso tseg hauv cov npe kom pom tias lawv zoo li cas thiab yog tias kuv ua qee yam uas yog twb tau ua tiav lawm.

Kuv muaj txoj haujlwm tseem ceeb tseem tab tom tsim cov cuab yeej ntawm kev ua haujlwm thiab qhov kuv xav tau tam sim no yog pib siv txhua yam kuv tau kawm hauv lub sijhawm no thiab tawm tsam nrog cov teeb meem tiag.

Kuv yuav khaws qhia kuv qhov kev nce qib ntawm blog.

Yog tias koj yog ib tus neeg tsis txaus siab zoo li peb thiab xav koom tes hauv kev saib xyuas thiab txhim kho qhov project, koj tuaj yeem muab nyiaj pub dawb. Tag nrho cov nyiaj yuav mus yuav phau ntawv thiab cov ntaub ntawv los sim thiab ua cov ntawv qhia

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