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Python ではじめる辞書学習 #1 2018年2月16日 はんなり Python #3 @ウィングス京都

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છాوࢤ ͦΊ͔ͩͨ͠ • גࣜձࣾϋΧϧε औక໾$50 • 1ZUIPOྺ ೥ • ؔ+BWBɾ+"846(ɾ%FW-07&ؔ੢ ք۾

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εύʔεϞσϦϯά • σʔλͷεύʔεੑʹண໨ͨ͠ϞσϦϯάख๏ • ೖྗಛ௃ྔͷதͷॏཁͳ΋ͷ͕Θ͔Δ • গͳ͍৘ใ͔Βݩͷ৘ใͷ෮ݩ͕Ͱ͖Δ

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໌ޙ೔౦ژͰొஃ͠·͢

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ຊ೔ͷΰʔϧ ߦྻ෼ղ XJUIը૾ʹ৮ΕΔ

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ߦྻ෼ղ • ͋ΔߦྻΛผͷߦྻͷੵͰද͢ ۙࣅ͢Δ ! = #$ ઢܕํఔࣜΛղ͖΍ͨ͘͢͠Γ σʔλͷ࣍ݩѹॖ΍ಛ௃ͷநग़ʹ࢖ΘΕͨΓ

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ߦྻ෼ղͷ࣮૷ • /VN1Z • OVNQZMJOBMH ʹ 23෼ղ΍ಛҟ஋෼ղͳͲ • TDJLJUMFBSO • TLMFBSOEFDPNQPTJUJPO ʹ 1$"΍ *$"ɺ/.'ɺ ࣙॻֶशͳͲ

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ը૾ʹద༻ͯ͠ΈΔ • ը૾ΛҰͭͷྻϕΫτϧͱݟཱͯΔ • ෳ਺ͷը૾σʔλΛҰͭͷߦྻͱݟཱͯΔ !"" ⋯ !$" ⋮ ⋱ ⋮ !"' ⋯ !$' ཁૉ਺ Qͷ Oݸͷը૾αϯϓϧ

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σʔληοτ 0MJWFUUJ'BDFTYຕ IUUQTDTOZVFEVdSPXFJTEBUBIUNM

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1$" • ෼ࢄΛ࠷େԽ͢Δํ޲ʹओ੒෼Λநग़ • ֤ओ੒෼͸௚ަ • ࣍ݩ࡟ݮͰ͓ೃછΈ

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1$"ͷओ੒෼ جఈʹ࡟ݮɺد༩౓ͷ߹ܭ 

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1$"Ͱ࠶ߏ੒

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1$" # run PCA from sklearn.decomposition import PCA pca = PCA(n_components=n_components, svd_solver='randomized’, whiten=True) pca.fit(X_train) # reconstruct original space code = pca.transform(sample.reshape(1, -1)) reconstructed = pca.inverse_transform(code)

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1$" • ݩͷσʔληοτ 9ΑΓ௿͍࣍ݩʹམͱ͢ !" = $%" ݸͷإը૾Λͬ͘͟Γ  ύλʔϯʹ෼ׂͨ͠Πϝʔδ

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*$" • ੒෼ͷಠཱੑʹண໨ • ࠞ߹৴߸ͷ৔߹ʹΑ͍෼཭ੑೳ

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*$" ͷಠཱ੒෼

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*$"Ͱ࠶ߏ੒

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*$" # run ICA from sklearn.decomposition import FastPCA ica = FastICA(n_components=n_components, whiten=True) ica.fit(X_train) # reconstruct original space code = ica.transform(sample.reshape(1, -1)) reconstructed = ica.inverse_transform(code)

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/.' • ཁૉ͕ඇෛͱ͍͏੍໿Λିͨ͠ߦྻ෼ղ • جఈͷ଍͠߹ΘͤͰݩͷσʔλΛදݱ • ಛ௃நग़ͱͯ͠ΈΔ͜ͱ΋Մ

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/.'ͷಛ௃ߦྻ ࣍ݩɺ࠶ߏ੒Τϥʔ ϑϩϏϊ΢εϊϧϜ 

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/.'Ͱ࠶ߏ੒

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/.' # run NMF from sklearn.decomposition import NMF nmf = NMF(n_components=n_components) W = nmf.fit_transform(X_train) H = nmf.components_ # reconstruct original image code = nmf.transform(sample.reshape(1, -1)) reconstructed = nmf.inverse_transform(code)

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/.' • εύʔεͳ෼ղ ਓͷը૾Λ ͷإͷύλʔϯͷ଍͠߹ΘͤͰදݱ

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·ͱΊ • 1$"ɺ*$"ͱ /.'Λෳ਺ͷը૾σʔλʹର͠ ࣮ͯࢪ • ࣍ʑճ͸ࣙॻֶश • αϯϓϧίʔυ͸ IUUQTHJUJPW"D47

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উखʹ ࣍ճ༧ࠂ • 1Z$PO 1)Ϩϙʔτ • དྷि  ౔ ɺ ೔ ϚχϥͰ։࠵ • ฐࣾϑΟϦϐϯͷΤϯδχΞ͕ొஃ • IUUQTQZDPOQZUIPOQI • ࣍ճ͸ΜͳΓ 1ZUIPOʹࢀՃͰ͖Δ ͔΋