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如果不适合您，请原谅。也许我不应该问这样的问题。 我不经常发布，但是我和儿子一起写一些代码。我们编写了一个简单的“手指大战”游戏。我对此并不熟悉，但很快就了解了基本算法。我知道我们的代码有些冗长，但是在学习基本代码时更容易阅读和理解。 通常，您在操场上面对另一个玩家玩这个游戏。两名球员都用双手各指着一根手指t。玩家1可以将一个（或一些）手指移到另一只手上，也可以触摸对手的手，从而在那儿增加相同数量的手指。如果一只手的手指超过五个手指，则您将五个手指放在旁边并继续演奏。如果一只手下降到0，您仍然可以向其添加手...

我终于设法提出了一个非常好的ML模型，其准确性超过90％。大！但是现在我需要在现实世界中使用它：） 我的数据集是这样的：在过去两年中，每次用户访问我的网站时，如果该用户使用的是计算机或智能手机，我都会将该数据库存储在该用户所在的一天中的某天，某天。而且以后，如果用户每次在我的网站上进行了转换，我都会更新数据库以保存该特定用户进行了转换。 I trained my ML algorithm using Naive Bayes (I used [Rubix ML][1] library for PHP whic...

我是机器学习的新手，并且正在使用Keras中的LSTM执行多变量时间序列预测。我有一个每月时间序列数据集，其中包含4个输入变量（温度，降水，露水和wind_spreed）和1个输出变量（污染）。利用这些数据，我得出了一个预测问题，考虑到前几个月的天气条件和污染，我预测了下个月的污染。下面是我的代码 X = df[['Temperature', 'Precipitation', 'Dew', 'Wind_speed' ,'Pollution (t_1)']].values y = df['Pollution ...

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I am using one of the tacotron 2 clones on github. I get the message ValueError: Shapes (149, 512) and (199, 512) are incompatible. I realized this to be due to settings in the hyperparameters. Those are # This is the hyperparameter configuration file for ...

我正在训练具有自定义损失和评估指标的keras模型。它训练时不采用公制。但是当我尝试像这样训练时，它给出了以下错误： model.compile(optimizer= keras.optimizers.Adam(learning_rate = 1e-3), loss = inner_product, metrics=dice_index_metric) model.fit([X_train], [y_train], epochs=50, batch_size = 1, validation_split=0...

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我正在尝试为我的预测模型（随机分类器）绘制学习曲线，其中X如下所示： 0 1 2 3 4 5 6 -0.039555 -0.161331 -0.107744 -0.309758 -0.153625 -0.339251 0.468214 -0.040180 0.272832 0.173734 -0.316729 -0.446981 -...

我有一个多类分类器，它从生成器获取输入： def generate_train_data(path, x_shape): genres = {"hip-hop":0, "r&b":1, "pop":2, "jazz":3} genre_labels = to_categorical(list(genres.values()), num_classes=len(genres)) # some processing to create variables...

我已经使用Chanier训练了深刻的Q学习模型： class Q_Network (chainer.Chain): def __init__(self, input_size, hidden_size, output_size): super (Q_Network, self).__init__ ( fc1=L.Linear (input_size, hidden_size), fc2=L.Linear...

在运行使用tensorflow和OpenAI Gym和基准软件包的pybullet deep_mimic示例时，我遇到了此错误。该窗口与该漫游器一起显示了一秒钟，然后崩溃了。我正在使用python 3.8和tf 2.3.1运行它。我没有Nvidia卡，但这似乎不是问题吗？ tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable agent/resource/...

出于好奇，我将具有单个时间步长的堆叠LSTM神经网络与具有tanh激活功能的MLP进行了比较，认为它们的性能相同。 用于比较的体系结构如下，它们在回归问题的相同数据集（损失函数为MSE）上进行训练： model.add(Dense(50, input_dim=num_features, activation = 'tanh')) model.add(Dense(100, activation = 'tanh')) model.add(Dense(150, activation = '...

I am trying to train the Keras DNN model for prediction using LUT Data. I have normalized the data and split into training, testing, and validation part. I encountered a problem with my tanning and validation accuracy that stays (almost) the same. The accu...

I wanted to implement the meta-lstm meta-learner in the paper OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING using higher but I found problems. I found that I cannot make it work without removing (what seems to be this crucial line): https://github.com/face...

I am new to Scala and Spark. I am trying building a machine learning model. when i try to fit the model using training data using val model = pipeline.fit(trainingData) It throws error saying Task is not serializable. Please help me to resolve this issue. ...