Universitas Ruperto-Carola Heidelbergensis

Multi tool use

Inscriptio est "S[igillum] Universitatis studii Heidelbergensis"
Universitas Ruperto-Carola Heidelbergensis nomine saepenumero sine linea transversa scripto brevius "Universitas Heidelbergensis", condita ab electore Palatinato anno 1386, Heidelbergae locata in terra Badenia-Virtembergia, rectore Bernhardo Eitel, habuit anno 2007 25 562 studiosos. Dispensatio oeconomica annualis est 461,106 mio. nummorum Euronorum. Sententia est "SEMPER APERTUS".
Res gestae |
Post Pragensem et Vindobonensen est tertia secundum conditionis tempus omnium universitatum imperii Romani Sacri.
Papa Urbanus eius nominis sextus 23 Octobris 1385 conditionis privilegium donavit. Artes fuerunt quattuor quae sunt theologia, iurisprudentia, medicina et philosophia. Anno 1890 artes rerum naturalium accederunt. Ab anno 2002 sunt 12 studii artes.
Universitatis rector conditor fuit Marsilius Inghensis.
Bibliographia |
Semper apertus. 600 Jahre Ruprecht-Karls-Universität Heidelberg 1386 - 1986, Festschrift in sechs Bänden, curante Gulielm Doerr et alii, Springer, Berolini et Heidelbergae 1985, ISBN 3-540-15425-6
0m4nI2uLxJbq3dNX,qWZk3A1X3LlonZiAL,3ULCWnmqrhbtNW78oipL,l,xt7IIWp29xP
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...