Alexander Ostrovskij

Multi tool use

Alexander Ostrovskij
Res apud Vicidata repertae:
Nativitas:
31 Martii 1823;
MoscuaObitus:
2 Iunii 1886;
Q4528672Patria:
Imperium Russicum
Officium
Munus: Interpres, librettist, playwright, diurnarius, Scriptor
Patronus: Academia Scientiarum Petropolitana
Alexander Nicolai filius Ostrovskij (Russice Александр Николаевич Островский, tr. Aleksandr Nikolaevič Ostrovskij; natus 12 Aprilis 1823 Moscuae, mortuus 14 Iunii 1886 in vico Ščelykovo nunc regionis Costromensis) fuit clarus dramaturgus Russicus, socius correspondens Academiae Scientiarum Petropolitanae.
Ostrovskij creavit multos ludos ad acta scaenarum compositas, quarum sunt e.g. Egestas non et vitium («Бедность не порок», anno 1853), Tempestas adversa («Гроза», anno 1859), Matrimonium Balsaminovi («Женитьба Бальзаминова», anno 1861), Silva («Лес», anno 1870), Lupi et oves («Волки и овцы», anno 1875), Virgo cassa dote («Бесприданница», anno 1878). Fabulis suis scaenicis opulentiam theatri Russici nationalis profundissime auxit.
Nexus externi |

|
Vicimedia Communia plura habent quae ad Alexandrum Ostrovskij spectant.
|
Pagina de Alexandro Ostrovskij Encyclopaediae Sovieticae Magnae editionis tertiae .mw-parser-output .existinglinksgray a,.mw-parser-output .existinglinksgray a:visited{color:gray}.mw-parser-output .existinglinksgray a.new{color:#ba0000}.mw-parser-output .existinglinksgray a.new:visited{color:#a55858}
(Russice)
Pagina de Alexandro Ostrovskij Encyclopaediae Russicae Magnae
(Russice)
bJWfmvyVJX4U,7hQCY x5LGXefyT2yS2d7asxXjTPWtr,saDr8MOLE7o8kyZE E2QIw1S p31 qQD 2BsOC
Popular posts from this blog
Tabula multilinguis Rosettana in Museo Britannico ostenditur. Tabula Rosettana, [1] etiam titulo OGIS 90 agnita, est stela decreto de rebus sacris in Aegypto anno 196 a.C.n. lato inscripta. Tabula iuxta Rosettam Aegypti, urbem in delta Nili et ad oram maris Mediterranei iacentem, anno 1799 a milite Francico reperta est. Inventio stelae, linguis duabus scripturisque tribus inscriptae, eruditis Instituti Aegypti statim nuntiata est; ibi enim iussu imperatoris Napoleonis eruditi omnium scientiarum (sub aegide Commissionis Scientiarum et Artium) properaverant cum expeditione Francica. Qua a Britannis mox debellata, tabula Rosettana Londinium missa hodie apud Museum Britannicum iacet. Textus Graecus cito lectus interpretationi textuum Aegyptiorum (in formis hieroglyphica et demotica expressorum) gradatim adiuvit. Denique textum plene interpretatus est Ioannes Franciscus Champollion. Ab opere eruditorum cumulativo coepit hodiernus scripturae hieroglyphicae linguaeque Aegyptiae a...
1
$begingroup$
This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C...
1
$begingroup$
I have this LSTM model model = Sequential() model.add(Masking(mask_value=0, input_shape=(timesteps, features))) model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=False)) model.add(Dense(features, activation='softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) and shapes X_train (21, 11, 5), y_train (21, 5) . Each timestep is represented by 5 features and return_sequences is set to False because I want to predict one 5D array (the next timestep) for each input sequence of 11 timesteps. I get the error ValueError: y_true and y_pred have different number of output (5!=1) If I reshape the data as X_train (21, 11, 5), y_train (21, 1, 5) instead I get the error ValueError: Inva...