Maria Shelley

Multi tool use

Maria Shelley
Res apud Vicidata repertae:
Nativitas:
30 Augusti 1797;
Somers TownObitus:
1 Februarii 1851;
Chester SquarePatria:
Kingdom of Great Britain, Regnum BritanniarumNomen nativum:
Mary Wollstonecraft Godwin
Officium
Munus: travel writer, mythistoricus, essayist, playwright, biographer, Scriptor, science fiction writer
Familia
Genitores: Gulielmus Godwin; Maria Wollstonecraft
Coniunx: Percy Bysshe Shelley
Proles: Percy Florence Shelley
Memoria
Laurae: Science Fiction and Fantasy Hall of Fame
Sepultura: St Peter's Church, Bournemouth

Maria Shelley anno 1840, a Ricardo Rothwell depicta.
Maria Shelley (Anglice Mary Shelley, nata Mary Wollstonecraft Godwin Londinii die 30 Augusti 1797; ibidem mortua die 1 Februarii 1851) fuit Anglica auctrix. Mater sua Maria Wollstonecraft fuit. Mythistorias, fabulas, ludos scaenicos, commentariaque de itineribus conscripsit: operum autem omnium quidem Frankenstein, clarissimum mythistoria, anno 1818 edita.

Manuscriptum autographum mythistoriae
Frankenstein.
Maria cognomen accepit a marito Percy Bysshe Shelley, poëta et philosophus, cum quo itinera fecit per Italiam, Franciam, et Helvetiam. Ipsa Maria Shelley scripsit[1] anno 1816, prope Genavam, se primum fabulam concepisse quae postea aucta mythistoriam Frankenstein constituit.
Opera selecta |
History of a Six Weeks' Tour (1817)
Frankenstein; or, The Modern Prometheus (1818)
Mathilda (1819)
Valperga; or, The Life and Adventures of Castruccio, Prince of Lucca (1823)
Posthumous Poems of Percy Bysshe Shelley (1824)
The Last Man (1826)
The Fortunes of Perkin Warbeck (1830)
Lodore (1835)
Falkner (1837)
The Poetical Works of Percy Bysshe Shelley (1839)
- Commentarii in Lives of the Most Eminent Literary and Scientific Men (1835–39), parte Cabinet Cyclopaedia Dionysii Lardner
Rambles in Germany and Italy in 1840, 1842, and 1843 (1844)
Notae |
↑ Praefatio mythistoriae Frankenstein, editione 1831.
Nexus externi |

|
Lexici biographici: • Большая российская энциклопедия • Encyclopædia Britannica
|

|
Vicimedia Communia plura habent quae ad Mariam Shelley spectant.
|
.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!
|
O9b5l25pfeMIz 5XaZo3
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...