원본 보기역링크PDF로 내보내기맨 위로 Share via Share via... Twitter LinkedIn Facebook Pinterest Telegram WhatsApp Yammer Reddit Teams최근 바뀜Send via e-Mail인쇄고유링크 × 목차 Keras Documentation Home Why use Keras Getting started Models Layers Preprocessing Others Metrics Optimizers Activations Callbacks Datasets Applications Backend Initializers Regularizers Constraints Visualization Scikit-learn API Utils Contributing 관련 문서 Keras Documentation https://keras.io/ Home The Python Deep Learning library You have just found Keras Guiding principles 30seconds to Keras Installation Switching from TensorFlow to CNTK or Theano Support Why this name, Keras Why use Keras Getting started Guide to the Sequential model Guide to the Functional API FAQ Models About Keras models Sequential Model(functional API) Layers About Keras layers Core Layers Convolutional Layers Pooling Layers Locally-connected Layers Recurrent Layers Embeding Layers Merge Layers Advanced Activations Layers Normalization Layers Noise layers Layer wrappers Writing your own Keras layers Preprocessing Sequence Preprocessing Text Preprocessing Image Preprocessing Others Losses Metrics Usage of metrics Arguments Returns Available metrics binary_accuracy categorical_accuracy sparse_categorical_accuracy top_k_categorical_accuracy sparse_top_k_categorical_accuracy Custom metrics Optimizers Usage of optimizers Parameters common to all Keras optimizers SGD RMSprop Adagrad Adadelta Adam Adamax Nadam TFOptimizer Activations Usage of activations Available activations softmax elu selu softplus softsign relu tanh sigmoid hard_sigmoid linear On "Advanced Activations" Callbacks Usage of callbacks Callback BaseLogger TerminateOnNaN ProgbarLogger Datasets Applications Backend Initializers Regularizers Constraints Visualization Scikit-learn API Utils Contributing 관련 문서 Keras open/keras-documentation.txt 마지막으로 수정됨: 2020/06/02 09:25저자 127.0.0.1