如何使用TensorFlow在Colab中制作的Keras模型将其与网站集成
我使用了这段代码const saveResult = await model.save('localstorage://my-model-1')
,但出现编译错误,为
const saveResult = await model.save('localstorage://my-model-1')
^
SyntaxError: invalid syntax
答案 0 :(得分:0)
安装tensorflowjs
软件包后,请尝试以下代码,您可能还需要将ipython
软件包安装为
pip install tensorflowjs
pip install -U ipython
import tensorflowjs as tfjs
tfjs_target_dir = "./tfjs"
def train():
model = keras.Sequential([
keras.layers.Flatten(input_shape=(190, 190)),
keras.layers.Dense(80, activation='relu'),
keras.layers.Dense(2, activation='softmax')
]) # for example
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy']) # for example
model.fit(train_data_images, train_data_labels, epochs=15) # for example
tfjs.converters.save_keras_model(model, tfjs_target_dir)`