Iassium[1] sive (Medio Aevo) Forum Philistinorum[2] (Dacoromanice: Iași, Hungarice: Jászvásár, Theodisce: Jassy) est urbs Romaniae 263 410 incolarum (secundum censum 2011) in Moldavia regione sita.
Annis 1565-1859 Iassium caput Principatus Moldaviae fuit, annis 1859-1862 etiam civitatis Romaniae tum conditae. Hodie caput Romaniae culturale habetur.
Index
1Geographia
2Populus
3Praeclari cives
3.1Nati
3.2Mortui
4Notae
Geographia |
Urbem prope fines Moldaviae, qui Pyreto flumine fiunt, sitam Bahlui fluvius transfluit. Quod septem collibus includitur - ut Roma - "urbs septem collium" nominatur.
Populus |
Secundum censum 2002, adsunt:
Dacoromani: 98,1%
Zingari: 1,2%
Praeclari cives |
Iassii olim vixerunt aut nati sunt et hodie vivunt multi illustres viri atque feminae:
Nati |
Michael Kogălniceanu (1817 - 1891), primus minister Romaniae
Petrus Mavrogheni (1819 - 1887), vir publicus
Lascăr Catargiu (1823 - 1899), primus minister Romaniae
Nicolaus Rosetti-Bălănescu (1827 - 1884), vir publicus
Ioannes Gregorius Ghica (1830 - 1881), vir publicus atque legatus
Nicolaus Calimachi-Catargiu (1831 - 1882), vir publicus ac legatus
Margaritha Pogonat (1933 - 2014), actrix
Cornelius Zelea-Codreanu, politicorum peritus
Beniamin Fondane
Demetrius Gusti
Spiru Haret
Georgius Aemilius Palade, biologus et medicus
Aemilius Racoviţă, biologus, botanista et explorator
Gregorius M. Sturdza
Michael Sturdza
A. D. Xenopol
Mortui |
Stephanus Dimitrescu, pictor
Notae |
↑Iohannes Iacobus Hofmannus, Lexicon universale (1698) ~. - Etiam Zedler, Universal-Lexicon, sub voce JassyIassium habet; num municipium Iassiorum ac Petrodava(m) sive Petrotava huc pertineant ibi disputatur.
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...
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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...
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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...