keras当中，想要在模型中加入32尺寸为3*3的卷积核，并设置整流线性单元激活函数，相应的Python语句是 A: model.add(Con2D(32,3,activation='relu')) B: model.add(Con2D(3,32,activation='relu')) C: model.add(Con2D(32,3,activation='sigmoid')) D: model.add(Con2D(32,3,activation='tanh'))

Activation encourages students to ______ a range of language functions and structures.

Enzymes speed up chemcial reactions by... A: lowering activation energy. B: increasing the activation energy needed. C: breaking the chemical energy needed. D: stopping the chemical reaction.

下面说法错误的是，activation function 指的是什么

Which of the APC descriptions is incorrect? A: APC is anaphase-promoting complex. B: APC is a ubiquitin ligase E3. C: The activation of APC eventually leads to the release and activation of the separation enzyme, which in turn leads to the separation of sister chromatids. D: Activated cdc20 binds to APC and inhibits APC activity.

扩散系数与哪些因素有关？ A: absolute temperature B: concentration gradient C: the activation energy for diffusion D: the gas constant

‍扩散系数与哪些因素有关？‍ A: absolute temperature B: concentration gradient C: the activation energy for diffusion D: the gas constant

中国大学MOOC: 使用Sequential()函数搭建神经网络训练MNIST数据集的代码为：model = tf.keras.models.Sequential([ tf.keras.layers.Flatten(), tf.keras.layers.Dense(128, activation=relu), tf.keras.layers.Dense(10, activation=softmax)])请问使用model.summary()打印网络结构和参数统计中，Total params的数目为？

使用下列代码建立神经网络模型，说法错误的是______。import tensorflow as tfmodel = tf.keras.Sequential()model.add(tf.keras.layers.Dense(8, activation="relu", input_shape=(4, )))model.add(tf.keras.layers.Dense(4, activation="relu"))model.add(tf.keras.layers.Dense(3, activation="softmax"))model.summary() A: 这个神经网络中有3层计算层 B: 这个神经网络中有计算功能的神经元有19个 C: 该模型的可训练参数个数共有91个 D: 这个神经网络的隐含层采用ReLu激活函数

Conv2D 方法的______参数用于指定卷积核移动步幅大小。 A: kernel_size B: activation C: padding D: strides