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Pyodide里的Tensorflow目录

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可以跑通基本的训练、使用模型过程
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RXXXBNUer
2025-10-04 11:24:10 +08:00
parent 57b59e7d33
commit fe343c67ff
30 changed files with 1459 additions and 419 deletions
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31
common/msg/blockly/zh-hant.js
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@@ -4163,4 +4163,35 @@ ZhHant.MIXLY_TINY_WEB_DB_START_NUMBER = '起始編號';
ZhHant.MIXLY_TINY_WEB_DB_VARIABLE_NUMBER = '變數個數';
ZhHant.MIXLY_TINY_WEB_DB_SEARCH_VARS = '變數名稱包含的字元';
ZhHant.MIXLY_TENSORFLOW_INIT_TENSOR = '初始化張量為';
ZhHant.MIXLY_TENSORFLOW_SEQUENTIAL = '初始化順序模型';
ZhHant.MIXLY_TENSORFLOW_INIT_LAYERS_DENSE_LAYER = '構建全連接層';
ZhHant.MIXLY_TENSORFLOW_OUTPUT_DIMENSION = '輸出維度';
ZhHant.MIXLY_TENSORFLOW_INPUT_SHAPE = '輸入形狀';
ZhHant.MIXLY_TENSORFLOW_MODEL = '模型';
ZhHant.MIXLY_TENSORFLOW_ADD_LAYER = '添加層';
ZhHant.MIXLY_TENSORFLOW_COMPILE_MODEL = '編譯模型';
ZhHant.MIXLY_TENSORFLOW_LOSS_FUNCTION_TYPE = '損失函數類型';
ZhHant.MIXLY_TENSORFLOW_MEAN_SQUARED_ERROR = '均方誤差';
ZhHant.MIXLY_TENSORFLOW_OPTIMIZER = '優化器';
ZhHant.MIXLY_TENSORFLOW_SGD = '隨機梯度下降法';
ZhHant.MIXLY_TENSORFLOW_FIT_MODEL = '訓練模型';
ZhHant.MIXLY_TENSORFLOW_FIT_INPUT_DATA = '輸入數據';
ZhHant.MIXLY_TENSORFLOW_FIT_TARGET_DATA = '目標數據';
ZhHant.MIXLY_TENSORFLOW_FIT_EPOCHS = '訓練迭代次數';
ZhHant.MIXLY_TENSORFLOW_FIT_VERBOSE = '日誌輸出級別';
ZhHant.MIXLY_TENSORFLOW_FIT_RETURN_HISTORY = '返回訓練歷史對象';
ZhHant.MIXLY_TENSORFLOW_GET_LOSS_FROM_HISTORY = '從訓練歷史對象';
ZhHant.MIXLY_TENSORFLOW_GET_LOSS_FROM_HISTORY_2 = '獲取訓練損失值數組';
ZhHant.MIXLY_TENSORFLOW_PREDICT = '使用模型預測';
ZhHant.MIXLY_TENSORFLOW_PREDICT_INPUT_DATA = '輸入數據';
ZhHant.MIXLY_TENSORFLOW_PREDICT_RETURN_RESULT = '返回預測結果張量';
ZhHant.MIXLY_TENSORFLOW_GET_TENSOR_DATA = '獲取張量中的數據';
ZhHant.MIXLY_TENSORFLOW_SAVE_MODEL = '保存模型';
ZhHant.MIXLY_TENSORFLOW_EXPORT_MODEL = '導出模型';
ZhHant.MIXLY_TENSORFLOW_SAVE_MODEL_NAME = '名稱';
ZhHant.MIXLY_TENSORFLOW_LOAD_MODEL = '使用導入模型';
ZhHant.MIXLY_TENSORFLOW_MODEL_NAME = '模型名';
ZhHant.MIXLY_TENSORFLOW_PREPARE_PICTURE_TO_TENSOR = '預處理圖像為張量';
ZhHant.MIXLY_TENSORFLOW_PREPARE_PICTURE_READ_PICTURE = '讀入圖像';
})();