Religio Bogomilorum

Multi tool use
Religio Bogomilorum sive Phundagiagitarum inter saeculos fere X et XVIII in paeninsula Balcanica floruit. E religione sive philosophia Gnostica oriundam esse censetur. Dualista quod mundum a Satanas creari putat et materias mundi negat per ascesi. Nexus exstitisse inter Bogomilos et Catharos satis constat.
Fontes |
Anna Comnena, Alexias 15.8-10
Cosmas (presbyter), Tractatus contra haereticos
Euthymius Periblepti, Liber invectivus (PG vol. 131)
Euthymius Periblepti, Epistula contra Phundagiagitas sive Bogomilos (Ficker, 1908)
Euthymius Trinovitanus, Vita Hilarionis episcopi Moglaenensis (Kałužniacki, 1901)
Euthymius Zigabenus, Panoplia dogmatica (PG vol. 130)
Euthymius Zigabenus, De haeresi Bogomilorum narratio (Ficker, 1908)
Germanus patriarcha, In exaltationem venerandae Crucis et contra Bogomilos (PG vol. 140)
Germanus patriarcha, Epistula contra Bogomilos (Ficker, 1908)
Theophylactus Lecapenus, "Epistula de haereticis"
Bibliographia |
- Michael Angold, "The Bogomils" in Michael Angold, Church and Society in Byzantium Under the Comneni, 1081–1261 (Cantabrigiae: Cambridge University Press, 1995. ISBN 9780521264327) pp. 468-502 textus venalis
- O. Bihalji-Merin, A. Benac, Tošo Dabac, L'art des Bogomiles. Lutetiae: Arthaud, 1966
- Edina Bozóky, ed., Le livre secret des cathares: Interrogatio Iohannis, apocryphe d'origine bogomile. Paris: Beauchesne, 1980. ISBN 2-7010-1223-6 .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}
(Latine, Francogallice) Summarium
- G. Ficker, Die Phundagiagiten: ein Beitrag zur Ketzergeschichte des byzantinischen Mittelalters. Lipsiae, 1908
- I. Ivanov, Богомилски книги и легенди. Serdicae, 1925
- E. Kałužniacki, Werke des Patriarchen von Bulgarien Euthymius. Vindobonae: Gerold, 1901 Textus apud archive.org
- Dmitri Obolensky, The Bogomils: a study in Balkan neo-Manichaeism. Cantabrigiae: Cambridge University Press, 1948
Nexus interni
- Libri Bogomilorum
- Quaestio Bogomilorum (c. 1110)
.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 religionem spectat. Amplifica, si potes!
|
C2M PmnZS ef1JRGcCUPiEzmY7Gv
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...