Academia

Multi tool use

Academiam Athenarum Raphael Sanctius Urbinas pinxit.
Academia (Graece Ἀκαδήμεια; Koine Ἀκαδημία) est institutum docendi, discendi, inquirendi. Origo nominis est philosophiae Academia Platonis, prope Academiam, sanctuarium Athenae, deae sapientiae et sollertiarum, ad septentriones Athenarum versus in Graecia circa 385 a.C.n. condita. Sunt academiae artium et scientiarum atque academiae linguisticae.
Nexus interni
- Gradus academicus
- Academia Francica
- Lyceum
Bibliographia |
- Cameron, Alan. 1969. The last days of the Academy at Athens. Proceedings of the Cambridge Philological Society 195 (n.s. 15): 7–29.
- Bechtle, Gerald. 1999. Bryn Mawr Classical Review: Rainer Thiel, Simplikios und das Ende der neuplatonischen Schule in Athen. Stutgartiae.
- Glucker, John. 1978. Antiochus and the Late Academy. Gottingae.
- Haskell, Francis, et Penny, Nicholas . 1981. Taste and the Antique: The Lure of Classical Sculpture, 1500–1900. Portu Novo: Yale University Press.
Nexus externi |
Academic Charisma and the Origins of the Research University : Index nominum academiarum
The typographical Gazetteer Index academiarum Germanicarum
X8f,pp8JZeYc9UvjjuoUC
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...