머신러닝 모델

[soyeon Park]

[soyeon Park]

특징

• Tensorflow/TensorflowLite
  • https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/text_classification.ipynb
  • https://www.tensorflow.org/lite/tutorials/model_maker_text_classification
• PyTorch
  • https://github.com/pytorch/tutorials/blob/master/beginner_source/text_sentiment_ngrams_tutorial.py
• scikit learn
  • https://github.com/javedsha/text-classification
  • https://github.com/Birinder1469/MultiClass_Text_Classification/blob/master/src/MultiClass_Classification_DataClean.ipynb
  • https://stackabuse.com/text-classification-with-python-and-scikit-learn/
• Keras
  • https://github.com/ShawnyXiao/TextClassification-Keras (FastText 사용)
• Theano
  • https://github.com/y3nk0/Theano-CNN

[soyeon Park]

종류

• 지도학습: classification, regression
• 비지도학습
• 강화학습

[soyeon Park]

• tensorflow/tensorflowLite
  • https://colab.research.google.com/github/tensorflow/docs-l10n/blob/master/site/ko/tutorials/quickstart/beginner.ipynb
  • https://colab.research.google.com/github/instafluff/TensorFlowLiteMicro_MNIST/blob/master/mnist_model_tensorflow_lite_micro.ipynb
• Pytorch
  • https://github.com/pytorch/examples/blob/main/mnist/main.py
• Keras
  • https://colab.research.google.com/github/tensorflow/datasets/blob/master/docs/keras_example.ipynb
• scikit learn
  • https://scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html