Aquae Spadanae seu Vicus Spadanus, vulgo Spa, est commune et urbs in circulo Viroviacensis provinciae Leodicensis iacens in Belgia; incolas fere 10 500 habet. Hic est secunda Circuitus Franciae 2010 statio.
Index
1Thermae
2Incolae noti
3Qui thermas Spadanas frequentaverint
4Nexus externi
5Bibliographia
Thermae |
Urbs Aquae Spadanae, ob aquas chalybeatas iam aevo medio notissima, nomen vulgare dedit et aliis quibusdam thermis late cognitis, inter quas Harrogate (the English Spaw, ita anno 1596 agnominata) et Aquis Sulis (Bath Spa, cognomen a societatibus ferroviariis usitatum). Idem nomen in lingua Anglica hodie significat "urbs causa aquarum frequentata". Aquae minerales hic oriundae late sub appellatione Spa venditantur.
Incolae noti |
Eduardus Delvaux hic scholam picturae tenuit; hic mortuus est anno 1862
Qui thermas Spadanas frequentaverint |
Petrus I, imperator Russiae (1714)
Iacobus Chassanaeus
Iosephus II imperator Austriacus (1781), qui Aquas Spadanas Café de l'Europe nuncupavit
Victor Hugo, scriptor
Alexander Dumas (pater), scriptor mythistoriarum
Iacobus Meyerbeer, compositor
Nexus externi |
Vicimedia Communia plura habent quae ad Aquas Spadanas spectant (Spa, Spa, Belgium).
Circuitus Spa-Francorchamps
Café de l'Europe apud Vicipaediam Francogallicam
Bibliographia |
Ivan Dethier, "Spa rendez-vous de l'Europe" in J. Stiennon, R. Lejeune, edd., La Wallonie, le pays et les hommes vol. 2 (Bruxellis: La Renaissance du Livre, 1978) pp. 103-110
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...
