我在喀拉拉邦可以培训的课程最多吗?

时间:2019-04-12 07:39:30

标签: python keras neural-network classification

嘿,我用keras训练神经网络。我有14个类别。一切正常,没有错误。但是,当我查看结果时,发现最后3个受过训练的类别是完全错误的。 没有测试对象连接到这三个类别。

我已经更改了输入的顺序,但是模型不了解最后3个类别。

我还在最后一层使用了两种不同的激活功能(Sigmoid和softmax) 还有2种不同的优化程序(adam和sgd)

类别最多吗?

这是我的代码:

model = keras.models.Sequential()


model = Sequential()
model.add(Dense(units=50, input_dim = trainingsdaten.shape[1], 
                kernel_initializer='glorot_uniform', 
                bias_initializer='zeros',
                activation='tanh'))

model.add(Dense(units=50, input_dim = 50, 
                kernel_initializer='glorot_uniform', 
                bias_initializer='zeros',
                activation='tanh'))

model.add(Dense(output_dim = kategorien_train_one_hot.shape[1], input_dim=56, 
                kernel_initializer='glorot_uniform', 
                bias_initializer='zeros',
                activation='sigmoid'))

sgd_optimizer = keras.optimizers.SGD(lr=lr, decay = decay, momentum = momentum)

model.compile(optimizer = 'adam', 
              loss = 'categorical_crossentropy',
              metrics= ['accuracy'])

history = model.fit(trainingsdaten, kategorien_train_one_hot,
                    batch_size = batch_size, epochs=epochs,
                    verbose = verbose,
                    validation_split = validation_split)

1 个答案:

答案 0 :(得分:0)

也许有一个小错误,您的第三个public class Movie { public string Name { get; set; } public string Description { get; set; } public string Classification { get; set; } public string Studio { get; set; } public DateTime? ReleaseDate { get; set; } public List<string> ReleaseCountries { get; set; } } Movie movie = new Movie(); movie.Name = "Bad Boys III"; movie.Description = "It's no Bad Boys"; string included = JsonConvert.SerializeObject(movie, Formatting.Indented, new JsonSerializerSettings { }); // { // "Name": "Bad Boys III", // "Description": "It's no Bad Boys", // "Classification": null, // "Studio": null, // "ReleaseDate": null, // "ReleaseCountries": null // } string ignored = JsonConvert.SerializeObject(movie, Formatting.Indented, new JsonSerializerSettings { NullValueHandling = NullValueHandling.Ignore }); // { // "Name": "Bad Boys III", // "Description": "It's no Bad Boys" // } 层有一个Dense,但是您的第二个input_dim = 56层有50个节点。