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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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common/msg/blockly/zh-hans.js
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@@ -4168,4 +4168,35 @@ ZhHans.MIXLY_TINY_WEB_DB_START_NUMBER = '起始编号';
ZhHans.MIXLY_TINY_WEB_DB_VARIABLE_NUMBER = '变量个数';
ZhHans.MIXLY_TINY_WEB_DB_SEARCH_VARS = '变量名包含的字符';
ZhHans.MIXLY_TENSORFLOW_INIT_TENSOR = '初始化张量为';
ZhHans.MIXLY_TENSORFLOW_SEQUENTIAL = '初始化顺序模型';
ZhHans.MIXLY_TENSORFLOW_INIT_LAYERS_DENSE_LAYER = '构建全连接层';
ZhHans.MIXLY_TENSORFLOW_OUTPUT_DIMENSION = '输出维度';
ZhHans.MIXLY_TENSORFLOW_INPUT_SHAPE = '输入形状';
ZhHans.MIXLY_TENSORFLOW_MODEL = '模型';
ZhHans.MIXLY_TENSORFLOW_ADD_LAYER = '添加层';
ZhHans.MIXLY_TENSORFLOW_COMPILE_MODEL = '编译模型';
ZhHans.MIXLY_TENSORFLOW_LOSS_FUNCTION_TYPE = '损失函数类型';
ZhHans.MIXLY_TENSORFLOW_MEAN_SQUARED_ERROR = '均方误差';
ZhHans.MIXLY_TENSORFLOW_OPTIMIZER = '优化器';
ZhHans.MIXLY_TENSORFLOW_SGD = '随机梯度下降法';
ZhHans.MIXLY_TENSORFLOW_FIT_MODEL = '训练模型';
ZhHans.MIXLY_TENSORFLOW_FIT_INPUT_DATA = '输入数据';
ZhHans.MIXLY_TENSORFLOW_FIT_TARGET_DATA = '目标数据';
ZhHans.MIXLY_TENSORFLOW_FIT_EPOCHS = '训练迭代次数';
ZhHans.MIXLY_TENSORFLOW_FIT_VERBOSE = '日志输出级别';
ZhHans.MIXLY_TENSORFLOW_FIT_RETURN_HISTORY = '返回训练历史对象';
ZhHans.MIXLY_TENSORFLOW_GET_LOSS_FROM_HISTORY = '从训练历史对象';
ZhHans.MIXLY_TENSORFLOW_GET_LOSS_FROM_HISTORY_2 = '获取训练损失值数组';
ZhHans.MIXLY_TENSORFLOW_PREDICT = '使用模型预测';
ZhHans.MIXLY_TENSORFLOW_PREDICT_INPUT_DATA = '输入数据';
ZhHans.MIXLY_TENSORFLOW_PREDICT_RETURN_RESULT = '返回预测结果张量';
ZhHans.MIXLY_TENSORFLOW_GET_TENSOR_DATA = '获取张量中的数据';
ZhHans.MIXLY_TENSORFLOW_SAVE_MODEL = '保存模型';
ZhHans.MIXLY_TENSORFLOW_EXPORT_MODEL = '导出模型';
ZhHans.MIXLY_TENSORFLOW_SAVE_MODEL_NAME = '名称';
ZhHans.MIXLY_TENSORFLOW_LOAD_MODEL = '使用导入模型';
ZhHans.MIXLY_TENSORFLOW_MODEL_NAME = '模型名';
ZhHans.MIXLY_TENSORFLOW_PREPARE_PICTURE_TO_TENSOR = '预处理图像为张量';
ZhHans.MIXLY_TENSORFLOW_PREPARE_PICTURE_READ_PICTURE = '读入图像';
})();