Comments (4)
应该可以支持一维,我写了支持一维的。你试试。
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作者您好,我在用DBN预测BMS的demo预测自己的数据集时(shape=[4000,14]),修改batch_size=100,训练可以运行,但是到了微调的时候报错,Cannot feed value of shape (100,) for Tensor 'DBN/Placeholder_1:0', which has shape '(?, 4000)'
,我看了下不是很懂self.input_data = tf.placeholder(tf.float32, [None, self.struct[0]])
这样设置输入占位符的原因,还有struct为啥那样设置也不太懂,能帮忙解释一下吗?
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from tensorflow-deep-neural-networks.
您好,首先感谢您提供的代码。我想要用DBN处理一个Excel表的数据,4000行14列,每行数据是一个单元,需要根据每行14个数据输出0或1,请问x_dim,y_dim和p_dim怎么设啊?因为这个跟mnist是不一样的,代码封装得厉害,也不太清楚一维数据这时候还需不需要p_dim,求告知。
你好,请问你最后用DBN处理一维数据成功了嘛~
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Related Issues (19)
- 请教一下,如何输入自己的图片数据集 HOT 6
- DBN是如何强化模型 HOT 2
- 高斯-伯努利RBM HOT 3
- QQ群 HOT 1
- dataset: .jpg label:.txt
- 你好,我用您原程序加到4层后,Mnist数据分类几乎错误。 HOT 15
- DBN做回归时激活函数和输出激活函数 HOT 1
- 請問以DBN實現MNIST的分類問題,要如何提取最後優化好的weight與bias呢? HOT 3
- Test set acc doesn't work HOT 11
- 考虑过加入VAE吗?
- AttributeError: 'list' object has no attribute 'op' HOT 4
- 请教一下,我可以用金融数据代替图片做输入吗? HOT 1
- TypeError: __init__() got an unexpected keyword argument 'hidden_act_func' HOT 1
- 请问一下,dbn训练的fine-tuning阶段如何理解?rbm输出给bp的是w、c 还是feature? HOT 5
- 想请教您一下,我想使用您的dbn模型实现对Iris数据集进行分类,请问数据如何导入呢,实现图片分类和数据分类时的dbn_struct是不是一样呢?彻底的初学者,劳烦帮忙解答一下~ HOT 7
- is:issue is:open 请问34行报“expected an indented block”这个错怎么解决 HOT 1
- 请问怎么改成回归以及如何用保存的模型进行预测? HOT 1
- stddev=np.sqrt(2 / (self.struct[-2] + self.struct[-1])) HOT 5
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