tf.print(tf.reduce_sum(a)) tf.print(tf.reduce_mean(a)) tf.print(tf.reduce_max(a)) tf.print(tf.reduce_min(a)) tf.print(tf.reduce_prod(a)) ===》362880 1. 2. 3. 4. 5. 6. 7. 张量指定维度进行reduce b = tf.reshape(a,(3,3)) tf.print(tf.reduce_sum(b, axis=1, keepdi...
alpha = tf.nn.softmax(tf.reduce_sum(tf.multiply(h, u_context), axis=2, keep_dims=True), dim=1) #reduce_sum之前shape为[batch_szie, max_time, hidden_szie*2],之后shape为[batch_size, hidden_size*2] atten_output = tf.reduce_sum(tf.multiply(inputs, alpha), axis=1) return atten_...
pool1=tf.layers.max_pooling2d(conv1,[2,2],[2,2])#pooling窗口为2x2 步长为2x2print("Layer1:\n",conv1,pool1)# 将3维特征转换为1维向量 flatten=tf.layers.flatten(pool1)# 全连接层 转换为长度为400的特征向量 fc=tf.layers.dense(flatten,400,activation=tf.nn.relu)print("Layer2:\n",fc...
max_actions_look_ahead, discount_factor=0.9): new_state = apply_action_func(state, action) if max_actions_look_ahead > 0: return reward_func(new_state) + discount_factor \ * max(q(new_state, new_action, reward_func, apply_action_func, actions_for_state_func, max_actions_look_ahead-...
returntf_contrib.layers.batch_norm(x,decay=0.9,epsilon=1e-05,center=True,scale=True,scope=scope)defflatten(x):returntf.layers.flatten(x)deflrelu(x,alpha=0.2):returntf.nn.leaky_relu(x,alpha)defrelu(x):returntf.nn.relu(x)defglobal_avg_pooling(x):gap=tf.reduce_mean(x,axis=[1,2],...
1%%time23BATCH_SIZE = 354IMAGE_SIZE = (224, 224)56#导入图像数据生成器 ImageDataGenerator7fromkeras.preprocessing.imageimportImageDataGenerator89#定义数据增强生成器10generator =ImageDataGenerator(11preprocessing_function=tf.keras.applications.efficientnet.preprocess_input,#预处理函数12rescale=1./255,#将...
GeoIP:MaxMind GeoIP Legacy 数据库的 Python API geojson:GeoJSON 的 Python 绑定及工具 geopy:Python 地址编码工具箱 pygeoip:纯 Python GeoIP API django-countries:一个 Django 应用程序,提供用于表格的国家选择功能,国旗图标静态文件以及模型中的国家字段 系统 进程 envoy:比 Python subprocess 模块更人性化 ...
reduce_lr = tf.keras.callbacks.LearningRateScheduler(LEARNING_RATE_FUNCTION) # model.compile(optimizer=tf.keras.optimizers.Adam(), loss=tf.keras.losses.Huber()) model.compile(optimizer='adam', loss='mean_squared_error') history = model.fit( ...
text(text, spellchecker): """ This function does very simple spell correction normalization using pyspellchecker module. It works over a tokenized sentence and only the token representations are changed. """ if len(text) < 1: return "" #Spell checker config max_edit_dist...
# 卷积层神经元（卷积核）数目kernel_size=[5, 5], # 感受野大小padding='same', # padding策略（vaild 或 same）activation=tf.nn.relu# 激活函数 )self.pool1 = tf.keras.layers.MaxPool2D(pool_size=[2, 2], strides=2)self.conv2 = tf.keras.layers.Conv2D(filters=64,kernel_size=[...