榜单
服务器优惠
AI论文
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1-4 Example: Modeling Procedure for Temporal Sequences
1-4 Example: Modeling Procedure for Temporal Sequences 1. Data Preparation 2. Model Definition 3. Model Training 4. Model Evaluation 5. Model Application 6. Model Saving ... -
噪声层Noise
噪声层Noise GaussianNoise层 参数 输入shape 输出shape GaussianDropout层 参数 输入shape 输出shape 参考文献 AlphaDropout 参数 输入shape 输出shape 参考文献 噪声层Noise GaussianNoise层 keras . layers ... -
损失函数 Losses
损失函数的使用 可用损失函数 mean_squared_error mean_absolute_error mean_absolute_percentage_error mean_squared_logarithmic_error squared_hinge hinge categorical_hinge logcosh categoric... -
Sequence Preprocessing
TimeseriesGenerator pad_sequences skipgrams make_sampling_table [source] TimeseriesGenerator keras . preprocessing . sequence . TimeseriesGenerator ( data , targets , le... -
URI
Predict on an InferenceService with a saved model from a URI Create HTTP/HTTPS header Secret and attach to Service account Sklearn Train and freeze the model Specify and create t... -
损失函数 Losses
损失函数的使用 可用损失函数 mean_squared_error mean_absolute_error mean_absolute_percentage_error mean_squared_logarithmic_error squared_hinge hinge categorical_hinge logcosh categoric... -
评估标准 Metrics
评价函数的用法 可使用的评价函数 binary_accuracy categorical_accuracy sparse_categorical_accuracy top_k_categorical_accuracy sparse_top_k_categorical_accuracy 自定义评价函数 评价函数的用法 评价函数用于评估当前... -
1-2,图片数据建模流程范例
1-2,图片数据建模流程范例 一，准备数据 二，定义模型 三，训练模型 四，评估模型 五，使用模型 六，保存模型 1-2,图片数据建模流程范例 一，准备数据 cifar2数据集为cifar10数据集的子集，只包括前两种类别airplane和automobile。 训练集有airplane和automobile图片各5000张，测试集... -
2-3 Automatic Differentiate
2-3 Automatic Differentiate 1. Calculate the Derivative Using the Gradient Tape 2. Calculate the Minimal Value Through the Gradient Tape and the Optimizer 2-3 Automatic Diffe...