Lambertus Spoletensis (imperator)

Multi tool use
Lambertus Spoletensis (natus circiter anno 875; obiit in Marengo die 15 Decembris 898) fuit filius Guidonis Spoletensis et a die 30 Aprilis 892 usque ad annum 894 cum patre et postea usque ad mortem solus imperator Sacri Romani Imperii et dux ducatus Langobardi Spoletii.
De vita |
Secundum Liutprandum Cremonae, episcopum et praeclarum historicum, Lambertus fuit elegans iuvenis et vir severus. Scilicet necatus, Placentiae sepultus est. De eo, Liutprandus scripsit:
- . . . praecipuo Francorum germinis ortus,
- Lambertus fuit hic Caesar in Urbe potens:
- Alter erat Constantinus, Theodosius alter,
- Et princeps pacis clarus amore nimis.
Fons |
- Caravale, Mario, ed. 2004. Dizionario Biografico degli Italiani: LXIII Labroca—Laterza. Romae.
.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
|
|
Vecd7mplAhJoNR3NuxLOB,Mk yFsCtdO20ALz,MZle,ahGt6iQSywnC,D6qD2KBi 7ACnRA2yavVwoWhh1Qd0Zfj sUw lqGIABY1pw
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...