Machine learning 将Keras层转换为Pyrotch_Machine Learning_Keras_Pytorch

Machine learning 将Keras层转换为Pyrotch

machine-learning keras pytorch

Machine learning 将Keras层转换为Pyrotch,machine-learning,keras,pytorch,Machine Learning,Keras,Pytorch,我在Keras有一个CNN层： model = Sequential() model.add(Conv2D(32, (3, 3), activation='relu', kernel_initializer='he_uniform', padding='same', input_shapnumpye=(27, 27, 3))) model.add(BatchNormalization()) model.add(Conv2D(32, (3, 3), activation='relu', kerne

我在Keras有一个CNN层：

model = Sequential()
model.add(Conv2D(32, (3, 3), activation='relu', kernel_initializer='he_uniform', padding='same', input_shapnumpye=(27, 27, 3)))
model.add(BatchNormalization())
model.add(Conv2D(32, (3, 3), activation='relu', kernel_initializer='he_uniform', padding='same'))
model.add(BatchNormalization())
model.add(MaxPooling2D((2, 2)))
model.add(Dropout(0.4))

我怎么能用PyTorch写呢

谢谢大家!

不是解决方案，但pytorch中的所有功能都可用。将此分解并逐个搜索keras到pytorch的等效函数。如果需要，首先在pytorch中浏览简单的CNN示例。。。