Maximilianus I (imperator)
Multi tool use
effigies Alberti Dürer, 1519 in Museum Historiae Artis, Vindobonae). Maximilianus tenet in manu sinistra effigiem eius, punicam malum
Maximilianus I , natus Novae Civitatis Vindobonae (hodie Germanice Wiener Neustadt) die 22 Martii 1459 - Ovilavae (hodie Germanice Wels) obiit die 12 Ianuarii 1519. Maximilianus fuit ab anno 1493 Germanorum et Romanorum rex et ab anno 1508 usque ad mortem imperator Sacri Romani Imperii. Et "Ultimus Eques" nominatus est.
Vita |
Die 18 Augusti 1477 Maximilianus Mariam Burgundiae in matrimonium duxit. Sola filia legitima imperatoris et Mariae fuit Margarita ab Austria.
Post mortem Mariae propter lapsum a equo die 27 Martii 1482, Maximilianus I in matrimonium Biancam Mariam Sfortiam duxit, quae antea Philiberto I Duci Sabaudiae nubere debebat, Philibertus tamen ante nuptias obiit.
Patre Friderico III adhuc vivente die 16 Februarii 1486 in urbe Francofurti rex Romanorum electus est.
.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 biographiam spectat. Amplifica, si potes!
|
Imperatores Sacri Romani Imperii et Reges Romanorum
|
|
Carolus Magnus
• Ludovicus Pius
• Lotharius I
• Ludovicus II
• Carolus Calvus
• Karlomannus Bavariae
• Carolus Crassus
• Guido Spoletensis
• Lambertus Spoletensis
• Arnulphus Carintiae
• Ludovicus Caecus
• Berengarius Foroiuliensis
• Otto I Magnus
• Otto II
• Otto III
• Henricus II
• Conradus II
• Henricus III
• Henricus IV
• Henricus V
• Lotharius III
• Conradus III
• Fridericus I Barbarossa
• Henricus VI
• Otto IV
• Fridericus II
• Henricus (VII)
• Conradus IV
• Guilielmus ab Hollandia
• (Alphonsus Castellae)
• Ricardus a Cornwalli
• Rudolphus I
• Adolphus Nassovius
• Albertus I
• Henricus VII
• Ludovicus IV Bavaricus
• Carolus IV
• Venceslaus a Luxemburgio
• Rupertus Comes Palatinus
• Iodocus a Moravia
• Sigismundus Luxemburgicus
• Albertus II
• Fridericus III
• Maximilianus I
• Carolus V
• Ferdinandus I
• Maximilianus II
• Rudolphus II
• Matthias
• Ferdinandus II
• Ferdinandus III
• Ferdinandus IV
• Leopoldus I
• Iosephus I
• Carolus VI
• Carolus VII Albertus
• Franciscus I Stephanus
• Iosephus II
• Leopoldus II
• Franciscus II
|
|
0Rfa7Fe6h6g,p,R,7gnI6,Mt2bLeVeXDn5NoZbQMjUwV,k 3lN2CEeOreP,9i 58d,I3qDOj YqIqbsa720P,4vBMAcFPPx1vsh
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...
