Nativitas: 14 Martii 1953; Monacum Patria: Germania
Officium
Officium: Socius Concilii Federalis Germanici, Demarchus, Socius Concilii Federalis Germanici Munus: Politicus
Consociatio
Factio: Socialis Democratica Factio Austriae, Socialis Democratica Factio Germaniae, Czech Social Democratic Party Religio: Ecclesia Catholica Romana
Familia
Coniunx: unknown value Proles: unknown value, unknown value
Carolus-Henricus (Theod. Karl-Heinz) Brunner (natus die 14 Martii 1953 Monaci) rerum politicarum peritus Germanicus factionis SPD est.
Index
1Iuventus et munus
2Familia
3Cursus honorum
4Nexus externi
Iuventus et munus |
Postquam scholam testimonio maturitatis accepto finivit, Brunner in oppido Reutlingen, Monaci, in Starnberg atque Posonii oeconomiae, curae iustitiae atque moderationi firmarum studebat. Posnii etiam ab universitate doctor philosophiae promotus est. Annis 1978 - 1990 pro iudicio et delatore publico Camboduni in Bavaria operam dedit.
Familia |
Brunner uxorem duxit atque duos liberos habet.
Cursus honorum |
Anno 1982 ad factionem Socialem Democraticam accessit. Etiam sodalis Socialis Democraticae Factionis Austriae et factionis Socialis Democraticae Cechiae est. Annis 1990 - 2002 magister civium oppidi Illertissen fuit. Anno 2009 frustra candidatus Dietae Foederalis erat, sed 2013 legatus ad Dietam Foederalem Germaniae electus est et mandatum etiam post electionem anni 2017 tenet.
Chemia Organometallica , disciplina quae partes chemiae organicae inorganicaeque complectitur; moleculas noscit quae vincula covalentes inter carbonium et metallum aut semimetallum continent. Index 1 Exempla 2 Proprietas chemicarum organometallicarum 3 Ramae chemiae organometallicae 4 Fons Exempla | Vitaminum B12 in corpore humano est chemica organometallica, sed non omnes moleculae metallum habentes sunt organometallicae, solum eae in quo vinculum inter carbonium et metallum est covalentum. Ergo, quamquam natriumacetatum (H 3 C-COONa, sal natrii acoris aceti) partem metallicum et partem organicam CH 3 habet, molecula ipsa non est metallorganica, quia vinculum natrii est ionicum et non est inter natrium et carbonium. Similiter chlorophyll et haemoglobinum non sunt chemicae metallorganicae. Etiam hodie, chemica Grignardi qui magnesium continent sunt potior pro synthesis moleculae organicae. Pro harum chemicarum inventa Victori Grignard Donatium No...
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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...
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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...
Carolus Henricus Brunner
