아래 리스트의 딥러닝 모델 파일 만들기 **Computer Vision** [Image classification from scratch](https://keras.io/examples/vision/image_classification_from_scratch/) [Simple MNIST convnet](https://keras.io/examples/vision/mnist_convnet/) [Image segmentation with a U-Net-like architecture](https://keras.io/examples/vision/oxford_pets_image_segmentation/) **Natural language processing** [Text classification with Transformer](https://keras.io/examples/nlp/text_classification_with_transformer/) [English-to-Spanish translation with a sequence-to-sequence Transformer](https://keras.io/examples/nlp/neural_machine_translation_with_transformer/) [Bidirectional LSTM on IMDB](https://keras.io/examples/nlp/bidirectional_lstm_imdb/) **Structured Data** [Collaborative Filtering for Movie Recommendations](https://keras.io/examples/structured_data/collaborative_filtering_movielens/) [Imbalanced classification: credit card fraud detection](https://keras.io/examples/structured_data/imbalanced_classification/) **Timeseries** [Timeseries anomaly detection using an Autoencoder](https://keras.io/examples/timeseries/timeseries_anomaly_detection/) **Generative Deep Learning** [Neural style transfer](https://keras.io/examples/generative/neural_style_transfer/) [Text generation with a miniature GPT](https://keras.io/examples/generative/text_generation_with_miniature_gpt/) **Graph data** [Node Classification with Graph Neural Networks](https://keras.io/examples/graph/gnn_citations/)
아래 리스트의 딥러닝 모델 파일 만들기
Computer Vision
Image classification from scratch
Simple MNIST convnet
Image segmentation with a U-Net-like architecture
Natural language processing
Text classification with Transformer
English-to-Spanish translation with a sequence-to-sequence Transformer
Bidirectional LSTM on IMDB
Structured Data
Collaborative Filtering for Movie Recommendations
Imbalanced classification: credit card fraud detection
Timeseries
Timeseries anomaly detection using an Autoencoder
Generative Deep Learning
Neural style transfer
Text generation with a miniature GPT
Graph data
Node Classification with Graph Neural Networks