Hebrus (nomus Graeciae)
Multi tool use
Situs pristini nomi Hebri
Forma pristinorum demorum nomi Hebri
Vide etiam paginam discretivam: Hebrus (discretiva)
Hebrus fuit usque ad annum 2010 una e quinque praefecturis (sive nomis) regionis (περιφέρεια) Macedoniae Orientalis et Thraeciae, cuius caput erat urbs Alexandropolis. Reformatione administrativa anni 2010 (vide: Libellus Callicratis) praefecturae iura ad regionem Macedoniam Orientalem et ad demos, quorum numerus coagmentatione valde minutus est, delata sunt. Territorium praefecturae nomine "Regionali Hebri Unitate" permanet, quae 12 legatos in consilium regionale mittit, praeterea autem vi politica caret.
Index pristinorum demorum nomi Hebri |
- 1. Δήμος Αλεξανδρούπολης - Alexandrupolis
- 2. Δήμος Βύσσας - Byssa
- 3. Δήμος Διδυμοτείχου - Didymotichus
- 4. Δήμος Κυπρίνου - Cyprinus
- 5. Δήμος Μεταξάδων - Metaxades
- 6. Δήμος Ορεστιάδος - Orestias
- 7. Δήμος Ορφέα - Orpheus
- 8. Δήμος Σαμοθράκης - Samothrace
- 9. Δήμος Σουφλίου - Suphlium
- 10. Δήμος Τραϊανούπολης - Traianupolis
- 11. Δήμος Τριγώνου - Trigonum
- 12. Δήμος Τυχερού - Tycherum
- 13. Δήμος Φερών - Pherae
Nexus externi |
Index pristinorum demorum, vicorum, compitorum huius nomi .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}
(Neograece)
Nomi Graeciae usque ad annum 2010
|
|
Achaea · Aetoloacarnania · Arcadia · Argolis · Arta · Attica · Boeotia · Cabala · Carditsa · Castoria · Cephallenia · Chalcidice · Chios · Cilcis · Corcyra · Corinthia · Cozana · Cyclades · Cydonia · Dodecanesus · Drama · Elis · Emathia · Euboea · Eurytania · Florina · Grebena · Hebrus · Heracleum · Ioannina · Laconia · Larissa · Lasithium · Lesbos · Leucas · Magnesia · Messenia · Mons Sanctus (regio autonoma) · Pella · Phocis · Phthiotis · Pieria · Prebeza · Rhithymna · Rhodope · Samos · Serrhae · Thesprotia · Thessalonica · Tricala · Xanthe · Zacynthus
|
|
.mw-parser-output .stipula{padding:3px;background:#F7F8FF;border:1px solid grey;margin:auto}.mw-parser-output .stipula td.cell1{background:transparent;color:white}
|
Haec stipula ad geographiam spectat. Amplifica, si potes!
|
Ab3kn QlskS2YmmWG4rifhafmY RkU d8,avCYHJFh8ogzXE9,6fsuJuOnG09iYQF0W rBuLuyewgD4UEK187N9
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...
