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tensorflow_for_engineer

VKB Gaudi

Übersicht

  1. Tensorflow Grundlage
  2. Model Speichern, weiderverwenden
  3. Neural Network, Regression, Softmax
  4. Image Classification (mnist handwriting)
  5. Convolutional Neural NetworkN
  6. Optimizer & Tensorboard
  7. Tensorflow2, Keras
  8. Syder IDE
  9. Tensorflow2 Lowlevel API
  10. Tensorflow2 Dataset
  11. Tensorflow2 Estimator
  12. Tensorflow Serving

Themen, die interessant sein könnten:

  • RNN
  • NLP (word2vec, LSTM, BERT, XNET ALBERT etc.)
  • Model Intragration mit Python Backend Service
  • Chatbot, Search Optimierung, Sentiment Analyse
  • mehr...