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deepfm-run文件，并尝试pytorch的教程 CI_TF1 #10: Commit 9feb990 pushed by xuyang7952
November 21, 2024 07:20 15s master
master
November 21, 2024 07:20 15s
deepfm-run文件，并尝试pytorch的教程 CI_TF2 #10: Commit 9feb990 pushed by xuyang7952
November 21, 2024 07:20 45s master
master
November 21, 2024 07:20 45s
model_plot_deepfm_criteo2_nofm，和deepfm_simple_1030_3图片结构对比，基本全是一致的，模型没问题 CI_TF1 #9: Commit 4730b58 pushed by xuyang7952
October 30, 2024 08:28 33m 20s master
master
October 30, 2024 08:28 33m 20s
model_plot_deepfm_criteo2_nofm，和deepfm_simple_1030_3图片结构对比，基本全是一致的，模型没问题 CI_TF2 #9: Commit 4730b58 pushed by xuyang7952
October 30, 2024 08:28 14m 45s master
master
October 30, 2024 08:28 14m 45s
SlicingOpLambda”和“tf.operators.getitem”实际上是在对输入数据进行切片操作，对模型推理性能几乎没影响，… CI_TF2 #8: Commit 86305a3 pushed by xuyang7952
October 30, 2024 08:19 37m 55s master
master
October 30, 2024 08:19 37m 55s
SlicingOpLambda”和“tf.operators.getitem”实际上是在对输入数据进行切片操作，对模型推理性能几乎没影响，… CI_TF1 #8: Commit 86305a3 pushed by xuyang7952
October 30, 2024 08:19 26m 40s master
master
October 30, 2024 08:19 26m 40s
deepfm模型改造，模型输入数据改造为和xgb相同的格式，数组类型 CI_TF2 #7: Commit 4b05cd4 pushed by xuyang7952
October 30, 2024 02:45 31s master
master
October 30, 2024 02:45 31s
deepfm模型改造，模型输入数据改造为和xgb相同的格式，数组类型 CI_TF1 #7: Commit 4b05cd4 pushed by xuyang7952
October 30, 2024 02:45 27s master
master
October 30, 2024 02:45 27s
理解deepfm模型中的embedding如何实现，input_from_feature_columns功能，稀疏特征和稠密特征的处理主要… CI_TF2 #6: Commit 95f2ae7 pushed by xuyang7952
October 11, 2024 10:38 35s master
master
October 11, 2024 10:38 35s
理解deepfm模型中的embedding如何实现，input_from_feature_columns功能，稀疏特征和稠密特征的处理主要… CI_TF1 #6: Commit 95f2ae7 pushed by xuyang7952
October 11, 2024 10:38 32s master
master
October 11, 2024 10:38 32s
tf的embedding操作，inputdim=10时，输入的int值必须是0~9，不然会报错； CI_TF2 #5: Commit 4cea053 pushed by xuyang7952
September 18, 2024 09:21 22s master
master
September 18, 2024 09:21 22s
tf的embedding操作，inputdim=10时，输入的int值必须是0~9，不然会报错； CI_TF1 #5: Commit 4cea053 pushed by xuyang7952
September 18, 2024 09:21 18s master
master
September 18, 2024 09:21 18s
paddle中deep方面的实现方案，分析所有类别稀疏特征总特征值的数量，连续特征也进行embedding映射 CI_TF2 #4: Commit 727f818 pushed by xuyang7952
September 14, 2024 07:02 31s master
master
September 14, 2024 07:02 31s
paddle中deep方面的实现方案，分析所有类别稀疏特征总特征值的数量，连续特征也进行embedding映射 CI_TF1 #4: Commit 727f818 pushed by xuyang7952
September 14, 2024 07:02 27s master
master
September 14, 2024 07:02 27s
deefm demo测试，并记录模型结构 CI_TF2 #3: Commit cc13b94 pushed by xuyang7952
September 13, 2024 07:33 36s master
master
September 13, 2024 07:33 36s
deefm demo测试，并记录模型结构 CI_TF1 #3: Commit cc13b94 pushed by xuyang7952
September 13, 2024 07:33 36s master
master
September 13, 2024 07:33 36s
DeepFM模型，用TensorFlow2初步构建，并分析网络结构 CI_TF2 #2: Commit 5842bc2 pushed by xuyang7952
August 16, 2024 07:34 23s master
master
August 16, 2024 07:34 23s
DeepFM模型，用TensorFlow2初步构建，并分析网络结构 CI_TF1 #2: Commit 5842bc2 pushed by xuyang7952
August 16, 2024 07:34 13s master
master
August 16, 2024 07:34 13s
Update ci2.yml CI_TF1 #1: Commit e8f4d81 pushed by xuyang7952
August 14, 2024 06:29 30s master
master
August 14, 2024 06:29 30s
Update ci2.yml CI_TF2 #1: Commit e8f4d81 pushed by xuyang7952
August 14, 2024 06:29 31s master
master
August 14, 2024 06:29 31s