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Flashcard 7713437388044

Tags
#tensorflow #tensorflow-certificate
Question

Preprocessing steps (preparing data for neural networks):

  1. Turn all data into numbers
  2. Make sure your tensors are in [...]
  3. Scale features (normalize or standardize) Neural networks tend to prefer normalization.
Answer
the right shape

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Preprocessing steps (preparing data for neural networks): Turn all data into numbers Make sure your tensors are in the right shape Scale features (normalize or standardize) Neural networks tend to prefer normalization.

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TfC_01_FINAL_EXAMPLE.ipynb
ape # Create training and test datasets #my way: from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state=42) <span>Preprocessing data (normalization and standardization) Preprocessing steps: Turn all data into numbers Make sure your tensors are in the right shape Scale features (normalize or standardize) Neural networks tend to prefer normalization. Normalization - adjusting values measured on different scales to a notionally common scale Normalization # Start from scratch import pandas as pd import matplotlib.pyplot as plt import tensorflow as tf ## Borrow a few classes from sci-kit learn from sklearn.compose import mak






Annotation 7713439223052

[unknown IMAGE 7104071601420] #deep-learning #has-images #keras #lstm #python #sequence
Keras provides flexibility to decouple the resetting of internal state from updates to network weights by defining an LSTM layer as stateful.
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Keras provides flexibility to decouple the resetting of internal state from updates to network weights by defining an LSTM layer as stateful. This can be done by setting the stateful argument on the LSTM layer to True

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Flashcard 7713441058060

Tags
#deep-learning #has-images #keras #lstm #python #sequence
[unknown IMAGE 7104071601420]
Question
Keras provides flexibility to decouple the resetting of internal state from updates to network weights by defining an LSTM layer as [...].
Answer
stateful

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Keras provides flexibility to decouple the resetting of internal state from updates to network weights by defining an LSTM layer as stateful.

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Flashcard 7713499516172

Tags
#05_GSL_Syntax #has-images
Question
Übersicht Syntax


Answer

Syntax = regelhafter Aufbau komplexer Ausdrücke aus einfacheren

Syntax fragt, nach welchen Gesetzmäßigkeiten wir aus Wörtern Sätze bilden.


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Flashcard 7713502661900

Tags
#05_GSL_Syntax #has-images
Question
Übersicht Wortarten


Answer
  • Wortarten werden nicht primär semantisch, sondern aufgrund ihrer morphologischen und syntaktischen Verteilung bestimmt

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Flashcard 7713504234764

Tags
#05_GSL_Syntax
Question
Wortarten in Gebärdensprachen
Answer
  • Systematische Unterscheidung Nomen/Verb kann in den meisten GS nicht getroffen werden
  • Für manche Nomen-Verbpaare in manchen GS ja (z.B. ASL, ÖGS, Auslan, Jordanische GS, RSL, LIS)
  • semantische Beziehung:
    • Handlung –Instrument
    • Aktion –nominalisierte Aktion
  • Grundsätzlich unterscheidet der syntaktische Kontext, ob verbale oder nominale Verwendung, adjektivisch vs adverbial
    • Adjektiv: INDEX1 [AUTO SCHNELL] MAG
    • Adverb: INDEX1 SCHNELL LERNEN

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Flashcard 7713506069772

Tags
#05_GSL_Syntax
Question
Finite Verbform (vs. infinite Verbform)
Answer

= Wortformen eines Verbs, die bestimmte grammatische Merkmale ausdrücken und dies mit besonderen syntaktischen Eigenschaften verbinden.

Die finiten Merkmale in der Grammatik des Deutschen sind:

  • Person und Numerus (die beim Verb immer gekoppelt auftreten)
  • Tempus: Präsens oder Präteritum
  • Modus (Indikativ, Konjunktiv oder Imperativ)

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Flashcard 7713508166924

Tags
#05_GSL_Syntax
Question
Konstituenten
Answer
Manche Elemente scheinen sprachliche Einheiten zu bilden. Diese sprachlichen Einheiten nennt man Konstituenten (lat. constituere - 'miteinander aufstellen').

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Flashcard 7713510001932

Question
[default - edit me]
Answer
Kriterien zur Feststellung, ob eine Gruppe von Wörtern eine Konstituente bzw. einen syntaktischen Baustein bildet 1. Ersetzungstest/Substitutionstest 2. Umstellungstest/Permutationstest 3. Koordinationstest 4. Fragetest

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Flashcard 7713513671948

Tags
#05_GSL_Syntax #has-images
Question
Konstituentenstruktur als Strukturbaum


Answer
  • Nominalphrase
  • Verbalphrase
  • Adjektivphrase

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Flashcard 7713516817676

Tags
#05_GSL_Syntax
Question
Prädikat (Zwei Definitionen)
Answer
  • Verb mit allen Ergänzungen, die im Satz vorkommen, außer dem Subjekt
    • Bsp.: [Marie] (Subjekt) [kauft (Verb) heute (Adverb) Blumen (Objekt)] (Prädikat
  • Kernbestandteil des Satzes, von dem alle anderen Satzglieder abhängen, oftmals ein Verb, in DGS aber auch Adjektive und Nomen (da idR keine Hilfsverben benutzt werden, Bsp: GEMÜSE GESUND oder SCHWESTER ARZT)

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Flashcard 7713522846988

Tags
#05_GSL_Syntax #has-images
Question
Argumente (Prädikat-Argument-Struktur)


Answer
  • vom Prädikat verlangte Mitspieler, ohne die ein Satz syntaktisch nicht wohlgeformt wäre
  • im Lexikoneintrag des Verbs verankert, wie viele Argumente ein Verb nimmt, und welche Form sie haben (z.B. Akkusativobjekt, präpositionales Objekt, etc.)

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Flashcard 7713525992716

Tags
#05_GSL_Syntax #has-images
Question
Adjunkt (Prädikat-Argument-Struktur)


Answer
  • Optionale Konstituenten (vom Prädikat nicht gefordert)
  • Modifizierende Funktion
  • Können in jedem Satz frei hinzugefügt (oder weggelassen) werden, z.B. Adverbien für Zeit, Raum, Art & Weise, Grund...

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Flashcard 7713528089868

Tags
#05_GSL_Syntax
Question
Übersicht Unterscheidung zwischen (fakultativen) Argumenten und Adjunkten (Prädikat-Argument-Struktur)
Answer

Syntaktische Tests:

  • als Test
  • und zwar Test

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