from keras import optimizers model = Sequential() model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,))) model.add(Activation('tanh')) ... ... <看更多>

def create_model(LOSS_FUNCTION, OPTIMIZER, METRICS,LEARNING_RATE): LAYERS = [ tf.keras.layers.Flatten(input_shape=[28,28], ... ... <看更多>

Lookahead Optimizer for Keras. 已經有人將Lookahead 實現在Keras 上( https://github.com/bojone/keras_lookahead )，作者 ... ... <看更多>

... between BERT-12 and BERT-24 using 'SGD' and 'ADAM' optimizer respectively. ... BERT model for text classification in TensorFlow 2 with Keras API. ... <看更多>

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This notebook will demonstrate how to use the lazy adam optimizer from the Addons ... Simply replace typical keras optimizers with the new tfa optimizer. ... <看更多>

In practice, how Keras works is that it decouples the hyperparameters that are really specific to the optimizers (for instance, the learning ... ... <看更多>

NVIDIA TensorRT ™ is a high-performance deep learning inference optimizer and ... 实测TensorRT加速Tensorflow，Keras，Pytorch模型，同时还对比了腾讯的Forward ... ... <看更多>